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30 total matches.

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1.
Dunn, Jeffrey.
* Bayesian* Epistemology and Having

Degree: PhD, Philosophy, 2010, U of Massachusetts : PhD

URL: https://scholarworks.umass.edu/open_access_dissertations/273

► *Bayesian* Epistemology is a general framework for thinking about agents who have beliefs that come in degrees. Theories in this framework give accounts of rational…
(more)

Subjects/Keywords: bayesian; dutch book; evidence; rationality; reliabilism; Philosophy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Dunn, J. (2010). Bayesian Epistemology and Having Evidence. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/273

Chicago Manual of Style (16^{th} Edition):

Dunn, Jeffrey. “Bayesian Epistemology and Having Evidence.” 2010. Doctoral Dissertation, U of Massachusetts : PhD. Accessed September 22, 2019. https://scholarworks.umass.edu/open_access_dissertations/273.

MLA Handbook (7^{th} Edition):

Dunn, Jeffrey. “Bayesian Epistemology and Having Evidence.” 2010. Web. 22 Sep 2019.

Vancouver:

Dunn J. Bayesian Epistemology and Having Evidence. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2010. [cited 2019 Sep 22]. Available from: https://scholarworks.umass.edu/open_access_dissertations/273.

Council of Science Editors:

Dunn J. Bayesian Epistemology and Having Evidence. [Doctoral Dissertation]. U of Massachusetts : PhD; 2010. Available from: https://scholarworks.umass.edu/open_access_dissertations/273

Universiteit Utrecht

2.
Meekes, M.
Sensitivity to *Evidence* in Probabilistic Networks.

Degree: 2013, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/286942

► The probabilistic network framework is an approach to apply probability theory to reasoning with uncertainty in knowledge-based systems. Whereas researchers have studied the properties of…
(more)

Subjects/Keywords: bayesian networks; probabilistic networks; sensitivity analysis; probabilistic network pruning; evidence sensitivity set; evidence sensitivity function

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Meekes, M. (2013). Sensitivity to Evidence in Probabilistic Networks. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/286942

Chicago Manual of Style (16^{th} Edition):

Meekes, M. “Sensitivity to Evidence in Probabilistic Networks.” 2013. Masters Thesis, Universiteit Utrecht. Accessed September 22, 2019. http://dspace.library.uu.nl:8080/handle/1874/286942.

MLA Handbook (7^{th} Edition):

Meekes, M. “Sensitivity to Evidence in Probabilistic Networks.” 2013. Web. 22 Sep 2019.

Vancouver:

Meekes M. Sensitivity to Evidence in Probabilistic Networks. [Internet] [Masters thesis]. Universiteit Utrecht; 2013. [cited 2019 Sep 22]. Available from: http://dspace.library.uu.nl:8080/handle/1874/286942.

Council of Science Editors:

Meekes M. Sensitivity to Evidence in Probabilistic Networks. [Masters Thesis]. Universiteit Utrecht; 2013. Available from: http://dspace.library.uu.nl:8080/handle/1874/286942

University of Hong Kong

3.
Tse, Ka-sze, Hayson.
* Bayesian* network analysis of

Degree: PhD, 2015, University of Hong Kong

URL: Tse, K. H. [謝家樹]. (2015). Bayesian network analysis of evidence in criminal court cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543999 ; http://hdl.handle.net/10722/212618

►

When justice goes wrong, grave consequences entail. They are damaging to the standing of the legal system and people’s lives. Humans are not good at… (more)

Subjects/Keywords: Evidence, Criminal - China - Hong Kong; Bayesian statistical decision theory - Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Tse, Ka-sze, H. (2015). Bayesian network analysis of evidence in criminal court cases. (Doctoral Dissertation). University of Hong Kong. Retrieved from Tse, K. H. [謝家樹]. (2015). Bayesian network analysis of evidence in criminal court cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543999 ; http://hdl.handle.net/10722/212618

Chicago Manual of Style (16^{th} Edition):

Tse, Ka-sze, Hayson. “Bayesian network analysis of evidence in criminal court cases.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed September 22, 2019. Tse, K. H. [謝家樹]. (2015). Bayesian network analysis of evidence in criminal court cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543999 ; http://hdl.handle.net/10722/212618.

MLA Handbook (7^{th} Edition):

Tse, Ka-sze, Hayson. “Bayesian network analysis of evidence in criminal court cases.” 2015. Web. 22 Sep 2019.

Vancouver:

Tse, Ka-sze H. Bayesian network analysis of evidence in criminal court cases. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Sep 22]. Available from: Tse, K. H. [謝家樹]. (2015). Bayesian network analysis of evidence in criminal court cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543999 ; http://hdl.handle.net/10722/212618.

Council of Science Editors:

Tse, Ka-sze H. Bayesian network analysis of evidence in criminal court cases. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Tse, K. H. [謝家樹]. (2015). Bayesian network analysis of evidence in criminal court cases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543999 ; http://hdl.handle.net/10722/212618

University of California – Irvine

4. Canac, Nicolas. Model Selection and Parameter Estimation in Neutrino Cosmology and High Energy Astrophysics Around the Galactic Center.

Degree: Physics, 2016, University of California – Irvine

URL: http://www.escholarship.org/uc/item/8368n23p

► Understanding the particle nature of dark matter and determining the properties of neutrinos remain two of the most important questions within the physics community. Both…
(more)

Subjects/Keywords: Physics; Astrophysics; bayesian evidence; Dark matter; Fermi; neutrinos; primordial power spectrum

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Canac, N. (2016). Model Selection and Parameter Estimation in Neutrino Cosmology and High Energy Astrophysics Around the Galactic Center. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/8368n23p

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Canac, Nicolas. “Model Selection and Parameter Estimation in Neutrino Cosmology and High Energy Astrophysics Around the Galactic Center.” 2016. Thesis, University of California – Irvine. Accessed September 22, 2019. http://www.escholarship.org/uc/item/8368n23p.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Canac, Nicolas. “Model Selection and Parameter Estimation in Neutrino Cosmology and High Energy Astrophysics Around the Galactic Center.” 2016. Web. 22 Sep 2019.

Vancouver:

Canac N. Model Selection and Parameter Estimation in Neutrino Cosmology and High Energy Astrophysics Around the Galactic Center. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Sep 22]. Available from: http://www.escholarship.org/uc/item/8368n23p.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Canac N. Model Selection and Parameter Estimation in Neutrino Cosmology and High Energy Astrophysics Around the Galactic Center. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/8368n23p

Not specified: Masters Thesis or Doctoral Dissertation

Queen Mary, University of London

5.
Pauran, Nargis.
* Bayesian* networks for health care support.

Degree: PhD, 2016, Queen Mary, University of London

URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267

► *Bayesian* Networks (BNs) have been considered as a potentially useful technique in the health service domain since they were invented. Many authors have presented BNs…
(more)

Subjects/Keywords: Electronic Engineering and Computer Science; Bayesian Networks; clinical evidence data

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APA (6^{th} Edition):

Pauran, N. (2016). Bayesian networks for health care support. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267

Chicago Manual of Style (16^{th} Edition):

Pauran, Nargis. “Bayesian networks for health care support.” 2016. Doctoral Dissertation, Queen Mary, University of London. Accessed September 22, 2019. http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267.

MLA Handbook (7^{th} Edition):

Pauran, Nargis. “Bayesian networks for health care support.” 2016. Web. 22 Sep 2019.

Vancouver:

Pauran N. Bayesian networks for health care support. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2016. [cited 2019 Sep 22]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267.

Council of Science Editors:

Pauran N. Bayesian networks for health care support. [Doctoral Dissertation]. Queen Mary, University of London; 2016. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267

Universiteit Utrecht

6.
Rooij, R.P. van.
Gaining insight in the solution space of the MPE problem when changing *evidence* or parameter values.

Degree: 2015, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/324379

► For *Bayesian* networks, the MPE problem is the problem of finding a configuration of all unobserved variables such that this configuration has the highest posterior…
(more)

Subjects/Keywords: Bayesian Network; Most Probable Explanation; MPE; evidence; parameter; solution space; sibling set

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Rooij, R. P. v. (2015). Gaining insight in the solution space of the MPE problem when changing evidence or parameter values. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/324379

Chicago Manual of Style (16^{th} Edition):

Rooij, R P van. “Gaining insight in the solution space of the MPE problem when changing evidence or parameter values.” 2015. Masters Thesis, Universiteit Utrecht. Accessed September 22, 2019. http://dspace.library.uu.nl:8080/handle/1874/324379.

MLA Handbook (7^{th} Edition):

Rooij, R P van. “Gaining insight in the solution space of the MPE problem when changing evidence or parameter values.” 2015. Web. 22 Sep 2019.

Vancouver:

Rooij RPv. Gaining insight in the solution space of the MPE problem when changing evidence or parameter values. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2019 Sep 22]. Available from: http://dspace.library.uu.nl:8080/handle/1874/324379.

Council of Science Editors:

Rooij RPv. Gaining insight in the solution space of the MPE problem when changing evidence or parameter values. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/324379

University of Oxford

7.
Forbes, Peter G. M.
Quantifying the strength of *evidence* in forensic fingerprints.

Degree: PhD, 2014, University of Oxford

URL: http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866

► Part I presents a model for fingerprint matching using *Bayesian* alignment on unlabelled point sets. An efficient Monte Carlo algorithm is developed to calculate the…
(more)

Subjects/Keywords: 519.5; Statistics; bayesian alignment; forensic identification; likelihood ratio; marked point process; weight of evidence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Forbes, P. G. M. (2014). Quantifying the strength of evidence in forensic fingerprints. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866

Chicago Manual of Style (16^{th} Edition):

Forbes, Peter G M. “Quantifying the strength of evidence in forensic fingerprints.” 2014. Doctoral Dissertation, University of Oxford. Accessed September 22, 2019. http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866.

MLA Handbook (7^{th} Edition):

Forbes, Peter G M. “Quantifying the strength of evidence in forensic fingerprints.” 2014. Web. 22 Sep 2019.

Vancouver:

Forbes PGM. Quantifying the strength of evidence in forensic fingerprints. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2019 Sep 22]. Available from: http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866.

Council of Science Editors:

Forbes PGM. Quantifying the strength of evidence in forensic fingerprints. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866

Queen Mary, University of London

8.
Yet, Barbaros.
* Bayesian* networks for

Degree: PhD, 2013, Queen Mary, University of London

URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/9096 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667238

► *Evidence* based medicine (EBM) is defined as the use of best available *evidence* for decision making, and it has been the predominant paradigm in clinical…
(more)

Subjects/Keywords: 616; Computer Science; Evidence based medicine; Medical statistics; Bayesian networks; Clinical decision-making

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yet, B. (2013). Bayesian networks for evidence based clinical decision support. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/9096 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667238

Chicago Manual of Style (16^{th} Edition):

Yet, Barbaros. “Bayesian networks for evidence based clinical decision support.” 2013. Doctoral Dissertation, Queen Mary, University of London. Accessed September 22, 2019. http://qmro.qmul.ac.uk/xmlui/handle/123456789/9096 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667238.

MLA Handbook (7^{th} Edition):

Yet, Barbaros. “Bayesian networks for evidence based clinical decision support.” 2013. Web. 22 Sep 2019.

Vancouver:

Yet B. Bayesian networks for evidence based clinical decision support. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2013. [cited 2019 Sep 22]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/9096 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667238.

Council of Science Editors:

Yet B. Bayesian networks for evidence based clinical decision support. [Doctoral Dissertation]. Queen Mary, University of London; 2013. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/9096 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667238

University of Minnesota

9. Murray, Thomas. Hierarchical models for combining nonexchangeable sources of survival and functional data.

Degree: PhD, Biostatistics, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/182785

► Conventional approaches to statistical inference preclude structures that facilitate incorporation of partially informative supplemental information acquired from similar circumstances. Borrowing strength from supplemental data promises…
(more)

Subjects/Keywords: Bayesian Analysis; Commensurate Priors; Evidence Synthesis; Functional Data Analysis; Supplemental Data; Survival Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Murray, T. (2014). Hierarchical models for combining nonexchangeable sources of survival and functional data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182785

Chicago Manual of Style (16^{th} Edition):

Murray, Thomas. “Hierarchical models for combining nonexchangeable sources of survival and functional data.” 2014. Doctoral Dissertation, University of Minnesota. Accessed September 22, 2019. http://hdl.handle.net/11299/182785.

MLA Handbook (7^{th} Edition):

Murray, Thomas. “Hierarchical models for combining nonexchangeable sources of survival and functional data.” 2014. Web. 22 Sep 2019.

Vancouver:

Murray T. Hierarchical models for combining nonexchangeable sources of survival and functional data. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/11299/182785.

Council of Science Editors:

Murray T. Hierarchical models for combining nonexchangeable sources of survival and functional data. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/182785

10.
Ben Mrad, Ali.
Observations probabilistes dans les réseaux bayésiens : Probabilistic *evidence* in *bayesian* networks.

Degree: Docteur es, Informatique, 2015, Valenciennes; École nationale d'Ingénieurs de Sfax (Tunisie)

URL: http://www.theses.fr/2015VALE0018

►

Dans un réseau bayésien, une observation sur une variable signifie en général que cette variable est instanciée. Ceci signifie que l’observateur peut affirmer avec certitude… (more)

Subjects/Keywords: Intelligence artificielle; Incertitude; Modèle graphique probabiliste; Réseau bayésien; Observation; Observation incertaine; Observation probabiliste; Observation de vraisemblance.; Artificial intelligence; Uncertainty; Probabilistic graphical models; Bayesian network; Evidence; Uncertain evidence; Probabilistic evidence; Likelihood finding; Soft evidence; Virtual evidence.

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ben Mrad, A. (2015). Observations probabilistes dans les réseaux bayésiens : Probabilistic evidence in bayesian networks. (Doctoral Dissertation). Valenciennes; École nationale d'Ingénieurs de Sfax (Tunisie). Retrieved from http://www.theses.fr/2015VALE0018

Chicago Manual of Style (16^{th} Edition):

Ben Mrad, Ali. “Observations probabilistes dans les réseaux bayésiens : Probabilistic evidence in bayesian networks.” 2015. Doctoral Dissertation, Valenciennes; École nationale d'Ingénieurs de Sfax (Tunisie). Accessed September 22, 2019. http://www.theses.fr/2015VALE0018.

MLA Handbook (7^{th} Edition):

Ben Mrad, Ali. “Observations probabilistes dans les réseaux bayésiens : Probabilistic evidence in bayesian networks.” 2015. Web. 22 Sep 2019.

Vancouver:

Ben Mrad A. Observations probabilistes dans les réseaux bayésiens : Probabilistic evidence in bayesian networks. [Internet] [Doctoral dissertation]. Valenciennes; École nationale d'Ingénieurs de Sfax (Tunisie); 2015. [cited 2019 Sep 22]. Available from: http://www.theses.fr/2015VALE0018.

Council of Science Editors:

Ben Mrad A. Observations probabilistes dans les réseaux bayésiens : Probabilistic evidence in bayesian networks. [Doctoral Dissertation]. Valenciennes; École nationale d'Ingénieurs de Sfax (Tunisie); 2015. Available from: http://www.theses.fr/2015VALE0018

Virginia Tech

11.
Jinn, Nicole Mee-Hyaang.
Toward Error-Statistical Principles of *Evidence* in Statistical Inference.

Degree: MA, Philosophy, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/48420

► The context for this research is statistical inference, the process of making predictions or inferences about a population from observation and analyses of a sample.…
(more)

Subjects/Keywords: Statistical Inference; Evidential/Inferential Interpretations; Evidence; Sampling distributions; Likelihood Principle; Bayesian methods; Error Statistics; Frequentist methods; Philosophy of Statistics; Statistics Education

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Jinn, N. M. (2014). Toward Error-Statistical Principles of Evidence in Statistical Inference. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/48420

Chicago Manual of Style (16^{th} Edition):

Jinn, Nicole Mee-Hyaang. “Toward Error-Statistical Principles of Evidence in Statistical Inference.” 2014. Masters Thesis, Virginia Tech. Accessed September 22, 2019. http://hdl.handle.net/10919/48420.

MLA Handbook (7^{th} Edition):

Jinn, Nicole Mee-Hyaang. “Toward Error-Statistical Principles of Evidence in Statistical Inference.” 2014. Web. 22 Sep 2019.

Vancouver:

Jinn NM. Toward Error-Statistical Principles of Evidence in Statistical Inference. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10919/48420.

Council of Science Editors:

Jinn NM. Toward Error-Statistical Principles of Evidence in Statistical Inference. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/48420

12.
LEAHY, JOY.
The Impact of Performing a Network Meta-Analysis with Imperfect * Evidence*.

Degree: School of Computer Science & Statistics. Discipline of Statistics, 2019, Trinity College Dublin

URL: http://hdl.handle.net/2262/86070

► Network meta-analysis (NMA) is an important aspect of *evidence* synthesis in a clinical setting, as it allows us to compare treatments which may not have…
(more)

Subjects/Keywords: single arm; individual patient data; matching adjusted indirect comparison; network meta-analysis; observational evidence; Bayesian statistics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

LEAHY, J. (2019). The Impact of Performing a Network Meta-Analysis with Imperfect Evidence. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/86070

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

LEAHY, JOY. “The Impact of Performing a Network Meta-Analysis with Imperfect Evidence.” 2019. Thesis, Trinity College Dublin. Accessed September 22, 2019. http://hdl.handle.net/2262/86070.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

LEAHY, JOY. “The Impact of Performing a Network Meta-Analysis with Imperfect Evidence.” 2019. Web. 22 Sep 2019.

Vancouver:

LEAHY J. The Impact of Performing a Network Meta-Analysis with Imperfect Evidence. [Internet] [Thesis]. Trinity College Dublin; 2019. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/2262/86070.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

LEAHY J. The Impact of Performing a Network Meta-Analysis with Imperfect Evidence. [Thesis]. Trinity College Dublin; 2019. Available from: http://hdl.handle.net/2262/86070

Not specified: Masters Thesis or Doctoral Dissertation

Wayne State University

13. Leigh, Hillary. The Road Taken: A Between And Within Subjects Study Of Intervention Selection Decisions By Performance Improvement Professionals.

Degree: PhD, Instructional Technology, 2014, Wayne State University

URL: https://digitalcommons.wayne.edu/oa_dissertations/1075

► Background: In performance improvement, intervention selection is a complex decision that ought to be based on the best available *evidence*. Despite this, there is…
(more)

Subjects/Keywords: Bayesian analysis; decision-making; evidence-based practice; intervention selection; performance improvement; subjective probability; Instructional Media Design; Organizational Behavior and Theory

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Leigh, H. (2014). The Road Taken: A Between And Within Subjects Study Of Intervention Selection Decisions By Performance Improvement Professionals. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1075

Chicago Manual of Style (16^{th} Edition):

Leigh, Hillary. “The Road Taken: A Between And Within Subjects Study Of Intervention Selection Decisions By Performance Improvement Professionals.” 2014. Doctoral Dissertation, Wayne State University. Accessed September 22, 2019. https://digitalcommons.wayne.edu/oa_dissertations/1075.

MLA Handbook (7^{th} Edition):

Leigh, Hillary. “The Road Taken: A Between And Within Subjects Study Of Intervention Selection Decisions By Performance Improvement Professionals.” 2014. Web. 22 Sep 2019.

Vancouver:

Leigh H. The Road Taken: A Between And Within Subjects Study Of Intervention Selection Decisions By Performance Improvement Professionals. [Internet] [Doctoral dissertation]. Wayne State University; 2014. [cited 2019 Sep 22]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1075.

Council of Science Editors:

Leigh H. The Road Taken: A Between And Within Subjects Study Of Intervention Selection Decisions By Performance Improvement Professionals. [Doctoral Dissertation]. Wayne State University; 2014. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1075

University of Cambridge

14. Corbella, Alice. Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity .

Degree: 2019, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/294438

► This thesis explores the joint estimation of transmission and severity of infectious diseases, focussing on the specific case of influenza. Transmission governs the speed and…
(more)

Subjects/Keywords: Bayesian Methods; Evidence Synthesis; Monte Carlo methods; State-space models; Epidemic models; Infectious disease dynamics; Multiple data; Transmission; Severity; Influenza

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Corbella, A. (2019). Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/294438

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Corbella, Alice. “Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity .” 2019. Thesis, University of Cambridge. Accessed September 22, 2019. https://www.repository.cam.ac.uk/handle/1810/294438.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Corbella, Alice. “Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity .” 2019. Web. 22 Sep 2019.

Vancouver:

Corbella A. Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity . [Internet] [Thesis]. University of Cambridge; 2019. [cited 2019 Sep 22]. Available from: https://www.repository.cam.ac.uk/handle/1810/294438.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Corbella A. Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity . [Thesis]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/294438

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

15.
Higson, Edward John.
* Bayesian* methods and machine learning in astrophysics.

Degree: PhD, 2019, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

► This thesis is concerned with methods for *Bayesian* inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters…
(more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Higson, E. J. (2019). Bayesian methods and machine learning in astrophysics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

Chicago Manual of Style (16^{th} Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Doctoral Dissertation, University of Cambridge. Accessed September 22, 2019. https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

MLA Handbook (7^{th} Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Web. 22 Sep 2019.

Vancouver:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Sep 22]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

Council of Science Editors:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

Portland State University

16.
Yee, King G.
* Bayesian* inquiry: an approach to the use of experts.

Degree: PhD, Systems Science, 1976, Portland State University

URL: http://pdxscholar.library.pdx.edu/open_access_etds/597

► Subjective information is a valuable resource; however, decisionmakers often ignore it because of difficulties in eliciting it from assessors. This thesis is on *Bayesian*…
(more)

Subjects/Keywords: Operations research; Expert Evidence; Bayesian statistical decision theory; Decision making

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yee, K. G. (1976). Bayesian inquiry: an approach to the use of experts. (Doctoral Dissertation). Portland State University. Retrieved from http://pdxscholar.library.pdx.edu/open_access_etds/597

Chicago Manual of Style (16^{th} Edition):

Yee, King G. “Bayesian inquiry: an approach to the use of experts.” 1976. Doctoral Dissertation, Portland State University. Accessed September 22, 2019. http://pdxscholar.library.pdx.edu/open_access_etds/597.

MLA Handbook (7^{th} Edition):

Yee, King G. “Bayesian inquiry: an approach to the use of experts.” 1976. Web. 22 Sep 2019.

Vancouver:

Yee KG. Bayesian inquiry: an approach to the use of experts. [Internet] [Doctoral dissertation]. Portland State University; 1976. [cited 2019 Sep 22]. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/597.

Council of Science Editors:

Yee KG. Bayesian inquiry: an approach to the use of experts. [Doctoral Dissertation]. Portland State University; 1976. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/597

17. Ortega-García, Javier. Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition.

Degree: 2018, Elsevier BV

URL: http://hdl.handle.net/10486/663651

Subjects/Keywords: Forensic Speaker Recognition; Evidence; Interpretation; Robust; Bayesian likelihood ratio; Tippett plots; Informática; Telecomunicaciones

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ortega-García, J. (2018). Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition. (Thesis). Elsevier BV. Retrieved from http://hdl.handle.net/10486/663651

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ortega-García, Javier. “Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition.” 2018. Thesis, Elsevier BV. Accessed September 22, 2019. http://hdl.handle.net/10486/663651.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ortega-García, Javier. “Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition.” 2018. Web. 22 Sep 2019.

Vancouver:

Ortega-García J. Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition. [Internet] [Thesis]. Elsevier BV; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10486/663651.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ortega-García J. Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition. [Thesis]. Elsevier BV; 2018. Available from: http://hdl.handle.net/10486/663651

Not specified: Masters Thesis or Doctoral Dissertation

18. ZHENG XIAOHUI. HIERARCHICAL MODELLING FOR INFECTIOUS DISEASES.

Degree: 2014, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/77770

Subjects/Keywords: Bayesian; hierarchical model; infectious diseases; evidence synthesis; optimal design; temporal trend

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

XIAOHUI, Z. (2014). HIERARCHICAL MODELLING FOR INFECTIOUS DISEASES. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/77770

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

XIAOHUI, ZHENG. “HIERARCHICAL MODELLING FOR INFECTIOUS DISEASES.” 2014. Thesis, National University of Singapore. Accessed September 22, 2019. http://scholarbank.nus.edu.sg/handle/10635/77770.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

XIAOHUI, ZHENG. “HIERARCHICAL MODELLING FOR INFECTIOUS DISEASES.” 2014. Web. 22 Sep 2019.

Vancouver:

XIAOHUI Z. HIERARCHICAL MODELLING FOR INFECTIOUS DISEASES. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2019 Sep 22]. Available from: http://scholarbank.nus.edu.sg/handle/10635/77770.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XIAOHUI Z. HIERARCHICAL MODELLING FOR INFECTIOUS DISEASES. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/77770

Not specified: Masters Thesis or Doctoral Dissertation

University of South Carolina

19. Langevin, Scott. Knowledge Representation, Communication, and Update In Probability-Based Multiagent Systems.

Degree: PhD, Computer Science and Engineering, 2010, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/788

► In this dissertation, we define a cooperative multiagent system where the agents use locally designed *Bayesian* networks to represent their knowledge. Agents communi- cate…
(more)

Subjects/Keywords: Computer Sciences; Electrical and Computer Engineering; Engineering; Physical Sciences and Mathematics; Bayesian networks; Distributed problem solving; Multiagent Systems; Probabilistic Reasoning; Sensor Fusion; Soft Evidence

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Langevin, S. (2010). Knowledge Representation, Communication, and Update In Probability-Based Multiagent Systems. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/788

Chicago Manual of Style (16^{th} Edition):

Langevin, Scott. “Knowledge Representation, Communication, and Update In Probability-Based Multiagent Systems.” 2010. Doctoral Dissertation, University of South Carolina. Accessed September 22, 2019. https://scholarcommons.sc.edu/etd/788.

MLA Handbook (7^{th} Edition):

Langevin, Scott. “Knowledge Representation, Communication, and Update In Probability-Based Multiagent Systems.” 2010. Web. 22 Sep 2019.

Vancouver:

Langevin S. Knowledge Representation, Communication, and Update In Probability-Based Multiagent Systems. [Internet] [Doctoral dissertation]. University of South Carolina; 2010. [cited 2019 Sep 22]. Available from: https://scholarcommons.sc.edu/etd/788.

Council of Science Editors:

Langevin S. Knowledge Representation, Communication, and Update In Probability-Based Multiagent Systems. [Doctoral Dissertation]. University of South Carolina; 2010. Available from: https://scholarcommons.sc.edu/etd/788

University of Florida

20. Guo, Peng-Cheng. Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation.

Degree: PhD, Astronomy, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044871

► Exoplanets are the planets around stars other than the sun. The detection and characterization of exoplanetary systems nowadays is one of the fields of the…
(more)

Subjects/Keywords: Estimators; Extrasolar planets; Modeling; Orbitals; Parametric models; Planets; Principal components analysis; Space observatories; Standard deviation; Velocity; bayesian – evidence – exoplanet – keplerian – mcmc – model – nbody – orbit – rv

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Guo, P. (2012). Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044871

Chicago Manual of Style (16^{th} Edition):

Guo, Peng-Cheng. “Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation.” 2012. Doctoral Dissertation, University of Florida. Accessed September 22, 2019. http://ufdc.ufl.edu/UFE0044871.

MLA Handbook (7^{th} Edition):

Guo, Peng-Cheng. “Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation.” 2012. Web. 22 Sep 2019.

Vancouver:

Guo P. Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 22]. Available from: http://ufdc.ufl.edu/UFE0044871.

Council of Science Editors:

Guo P. Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044871

21.
Timmer, S.T.
Designing and Understanding Forensic *Bayesian* Networks using Argumentation.

Degree: 2017, University Utrecht

URL: http://dspace.library.uu.nl/handle/1874/345719 ; URN:NBN:NL:UI:10-1874-345719 ; urn:isbn:978-90-393-6695-0 ; URN:NBN:NL:UI:10-1874-345719 ; http://dspace.library.uu.nl/handle/1874/345719

► The rise of forensic *evidence* in court has confronted the legal domain with a number of difficulties. It appears that a communication gap may exist…
(more)

Subjects/Keywords: Legal reasoning; Bayesian networks; Legal argumentation; Reasoning with evidence; Reasoning under uncertainty

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Timmer, S. T. (2017). Designing and Understanding Forensic Bayesian Networks using Argumentation. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/345719 ; URN:NBN:NL:UI:10-1874-345719 ; urn:isbn:978-90-393-6695-0 ; URN:NBN:NL:UI:10-1874-345719 ; http://dspace.library.uu.nl/handle/1874/345719

Chicago Manual of Style (16^{th} Edition):

Timmer, S T. “Designing and Understanding Forensic Bayesian Networks using Argumentation.” 2017. Doctoral Dissertation, University Utrecht. Accessed September 22, 2019. http://dspace.library.uu.nl/handle/1874/345719 ; URN:NBN:NL:UI:10-1874-345719 ; urn:isbn:978-90-393-6695-0 ; URN:NBN:NL:UI:10-1874-345719 ; http://dspace.library.uu.nl/handle/1874/345719.

MLA Handbook (7^{th} Edition):

Timmer, S T. “Designing and Understanding Forensic Bayesian Networks using Argumentation.” 2017. Web. 22 Sep 2019.

Vancouver:

Timmer ST. Designing and Understanding Forensic Bayesian Networks using Argumentation. [Internet] [Doctoral dissertation]. University Utrecht; 2017. [cited 2019 Sep 22]. Available from: http://dspace.library.uu.nl/handle/1874/345719 ; URN:NBN:NL:UI:10-1874-345719 ; urn:isbn:978-90-393-6695-0 ; URN:NBN:NL:UI:10-1874-345719 ; http://dspace.library.uu.nl/handle/1874/345719.

Council of Science Editors:

Timmer ST. Designing and Understanding Forensic Bayesian Networks using Argumentation. [Doctoral Dissertation]. University Utrecht; 2017. Available from: http://dspace.library.uu.nl/handle/1874/345719 ; URN:NBN:NL:UI:10-1874-345719 ; urn:isbn:978-90-393-6695-0 ; URN:NBN:NL:UI:10-1874-345719 ; http://dspace.library.uu.nl/handle/1874/345719

Leiden University

22.
Cereda, G.
Current challenges in statistical DNA *evidence* evaluation.

Degree: 2017, Leiden University

URL: http://hdl.handle.net/1887/45172

► This thesis covers different problems concerning the evaluation of DNA *evidence*. It is mainly divided into two parts: the first regards the DIP-STR genotyping techniques.…
(more)

Subjects/Keywords: DNA evidence evaluation; Bayesian statistics; Y-STR haplotypes; Rare type match; DNA evidence evaluation; Bayesian statistics; Y-STR haplotypes; Rare type match

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Cereda, G. (2017). Current challenges in statistical DNA evidence evaluation. (Doctoral Dissertation). Leiden University. Retrieved from http://hdl.handle.net/1887/45172

Chicago Manual of Style (16^{th} Edition):

Cereda, G. “Current challenges in statistical DNA evidence evaluation.” 2017. Doctoral Dissertation, Leiden University. Accessed September 22, 2019. http://hdl.handle.net/1887/45172.

MLA Handbook (7^{th} Edition):

Cereda, G. “Current challenges in statistical DNA evidence evaluation.” 2017. Web. 22 Sep 2019.

Vancouver:

Cereda G. Current challenges in statistical DNA evidence evaluation. [Internet] [Doctoral dissertation]. Leiden University; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1887/45172.

Council of Science Editors:

Cereda G. Current challenges in statistical DNA evidence evaluation. [Doctoral Dissertation]. Leiden University; 2017. Available from: http://hdl.handle.net/1887/45172

University of Canterbury

23. Taylor, Michael. Comparing forensic hypotheses from PCR results in cases involving mixtures of body fluids.

Degree: Dept. of Mathematics, 1995, University of Canterbury

URL: http://hdl.handle.net/10092/11403

► Likelihood ratios provide a convenient and widely-used measure for assessing the relative support for forensic hypotheses given certain *evidence*. We extend earlier work to provide…
(more)

Subjects/Keywords: Polymerase chain reaction; DNA profiling; likelihood ratio; multiple locus profiles; Bayesian; evidence; forensics; Field of Research::01 - Mathematical Sciences

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Taylor, M. (1995). Comparing forensic hypotheses from PCR results in cases involving mixtures of body fluids. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/11403

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Taylor, Michael. “Comparing forensic hypotheses from PCR results in cases involving mixtures of body fluids.” 1995. Thesis, University of Canterbury. Accessed September 22, 2019. http://hdl.handle.net/10092/11403.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Taylor, Michael. “Comparing forensic hypotheses from PCR results in cases involving mixtures of body fluids.” 1995. Web. 22 Sep 2019.

Vancouver:

Taylor M. Comparing forensic hypotheses from PCR results in cases involving mixtures of body fluids. [Internet] [Thesis]. University of Canterbury; 1995. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10092/11403.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Taylor M. Comparing forensic hypotheses from PCR results in cases involving mixtures of body fluids. [Thesis]. University of Canterbury; 1995. Available from: http://hdl.handle.net/10092/11403

Not specified: Masters Thesis or Doctoral Dissertation

Technical University of Lisbon

24.
Fonseca, Pedro Miguel Teles da.
Digit analysis using Benford's Law : a *bayesian* approach.

Degree: 2016, Technical University of Lisbon

URL: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13105

►

Mestrado em Econometria Aplicada e Previsão

A lei de Benford, regularidade empírica segundo a qual muitos dos conjuntos de números gerados sem intervenção humana exibem… (more)

Subjects/Keywords: Análise da Frequência dos Dígitos; Calibração do Valor-P; Lei de Benford; Medidas Condicionais de Evidencia; Selecção Bayesiana de Modelos; Testes de Hipoteses; Bayesian Model Selection; Benford's Law; Conditional Measures of Evidence; Digit Analysis; Hypothesis Testing; P-Value Calibration

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Fonseca, P. M. T. d. (2016). Digit analysis using Benford's Law : a bayesian approach. (Thesis). Technical University of Lisbon. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13105

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Fonseca, Pedro Miguel Teles da. “Digit analysis using Benford's Law : a bayesian approach.” 2016. Thesis, Technical University of Lisbon. Accessed September 22, 2019. http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13105.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Fonseca, Pedro Miguel Teles da. “Digit analysis using Benford's Law : a bayesian approach.” 2016. Web. 22 Sep 2019.

Vancouver:

Fonseca PMTd. Digit analysis using Benford's Law : a bayesian approach. [Internet] [Thesis]. Technical University of Lisbon; 2016. [cited 2019 Sep 22]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13105.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fonseca PMTd. Digit analysis using Benford's Law : a bayesian approach. [Thesis]. Technical University of Lisbon; 2016. Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13105

Not specified: Masters Thesis or Doctoral Dissertation

University of Vienna

25. Pellert, Max. Collective dynamics of multi-agent networks.

Degree: 2017, University of Vienna

URL: http://othes.univie.ac.at/50046/

►

Der zentrale wissenschaftliche Beitrag dieser Masterarbeit ist die Entwicklung und empirische Evaluation von IBE*, einer Synthese aus 'Jeffrey Conditionalization' und des 'Schlusses auf die beste… (more)

Subjects/Keywords: 08.32 Erkenntnistheorie; 54.76 Computersimulation; agentenbasierte Modellierung / Netzwerke / belief updating / formale Epistemologie / Schluss auf die beste Erklärung / bayesianische Inferenz / unsichere Evidenz; agent-based modeling / networks / belief updating / formal epistemology / inference to the best explanation / bayesian inference / uncertain evidence

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Pellert, M. (2017). Collective dynamics of multi-agent networks. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/50046/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Pellert, Max. “Collective dynamics of multi-agent networks.” 2017. Thesis, University of Vienna. Accessed September 22, 2019. http://othes.univie.ac.at/50046/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pellert, Max. “Collective dynamics of multi-agent networks.” 2017. Web. 22 Sep 2019.

Vancouver:

Pellert M. Collective dynamics of multi-agent networks. [Internet] [Thesis]. University of Vienna; 2017. [cited 2019 Sep 22]. Available from: http://othes.univie.ac.at/50046/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pellert M. Collective dynamics of multi-agent networks. [Thesis]. University of Vienna; 2017. Available from: http://othes.univie.ac.at/50046/

Not specified: Masters Thesis or Doctoral Dissertation

26. Boudaren, Mohamed El Yazid. Modèles graphiques évidentiels : Evidential graphical models.

Degree: Docteur es, Systèmes intelligents et Ingénierie des logiciels, 2014, Evry, Institut national des télécommunications; Université des sciences et de la technologie Houari Boumediene (Alger)

URL: http://www.theses.fr/2014TELE0001

►

Les modélisations par chaînes de Markov cachées permettent de résoudre un grand nombre de problèmes inverses se posant en traitement d’images ou de signaux. En… (more)

Subjects/Keywords: Chaînes de Markov cachées; Chaînes de Markov couples; Chaînes de Markov triplets; Segmentation non-supervisée; Estimation bayésienne; Estimation des paramètres; Données non-stationnaires; Théorie de l'évidence; Hidden Markov chains; Pairwise Markov chains; Triplet Markov chains; Unsupervised segmentation; Bayesian estimation; Parameters estimation; Nonstationary data; Theory of evidence

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Boudaren, M. E. Y. (2014). Modèles graphiques évidentiels : Evidential graphical models. (Doctoral Dissertation). Evry, Institut national des télécommunications; Université des sciences et de la technologie Houari Boumediene (Alger). Retrieved from http://www.theses.fr/2014TELE0001

Chicago Manual of Style (16^{th} Edition):

Boudaren, Mohamed El Yazid. “Modèles graphiques évidentiels : Evidential graphical models.” 2014. Doctoral Dissertation, Evry, Institut national des télécommunications; Université des sciences et de la technologie Houari Boumediene (Alger). Accessed September 22, 2019. http://www.theses.fr/2014TELE0001.

MLA Handbook (7^{th} Edition):

Boudaren, Mohamed El Yazid. “Modèles graphiques évidentiels : Evidential graphical models.” 2014. Web. 22 Sep 2019.

Vancouver:

Boudaren MEY. Modèles graphiques évidentiels : Evidential graphical models. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; Université des sciences et de la technologie Houari Boumediene (Alger); 2014. [cited 2019 Sep 22]. Available from: http://www.theses.fr/2014TELE0001.

Council of Science Editors:

Boudaren MEY. Modèles graphiques évidentiels : Evidential graphical models. [Doctoral Dissertation]. Evry, Institut national des télécommunications; Université des sciences et de la technologie Houari Boumediene (Alger); 2014. Available from: http://www.theses.fr/2014TELE0001

University of Cambridge

27.
Higson, Edward John.
* Bayesian* Methods and Machine Learning in Astrophysics
.

Degree: University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/289728

► This thesis is concerned with methods for *Bayesian* inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters…
(more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; error analysis; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Higson, E. J. (n.d.). Bayesian Methods and Machine Learning in Astrophysics . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Thesis, University of Cambridge. Accessed September 22, 2019. https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Web. 22 Sep 2019.

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Vancouver:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Internet] [Thesis]. University of Cambridge; [cited 2019 Sep 22]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

No year of publication.

Council of Science Editors:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Thesis]. University of Cambridge; Available from: https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

No year of publication.

University of Cambridge

28.
Hee, Sonke.
Computational *Bayesian* techniques applied to cosmology.

Degree: PhD, 2018, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549

► This thesis presents work around 3 themes: dark energy, gravitational waves and *Bayesian* inference. Both dark energy and gravitational wave physics are not yet well…
(more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549

Chicago Manual of Style (16^{th} Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Doctoral Dissertation, University of Cambridge. Accessed September 22, 2019. https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

MLA Handbook (7^{th} Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Web. 22 Sep 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Sep 22]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549

University of Cambridge

29.
Hee, Sonke.
Computational *Bayesian* techniques applied to cosmology
.

Degree: 2018, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/273346

► This thesis presents work around 3 themes: dark energy, gravitational waves and *Bayesian* inference. Both dark energy and gravitational wave physics are not yet well…
(more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Thesis, University of Cambridge. Accessed September 22, 2019. https://www.repository.cam.ac.uk/handle/1810/273346.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Web. 22 Sep 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology . [Internet] [Thesis]. University of Cambridge; 2018. [cited 2019 Sep 22]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology . [Thesis]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346

Not specified: Masters Thesis or Doctoral Dissertation

30. Claveau, Francois. Causal Reasoning in Economics: A Selective Exploration of Semantic, Epistemic and Dynamical Aspects.

Degree: 2012, Erasmus School of Philosophy

URL: http://hdl.handle.net/1765/38242

► textabstractEconomists reason causally. Like many other scientists, they aim at formulating justified causal claims about their object of study. This thesis contributes to our understanding…
(more)

Subjects/Keywords: Bayesian epistemology; design-based approach; deviant-case study; evidential variety; inferentialist semantics; philosophy of causality; philosophy of economics; referentialist semantics; structural approach; thesis; variety-of-evidence; vending-machine view

…can we gather
compelling *evidence* for a causal claim?6
For scholars like me straddling… …of causal claims? Second, how can a causal claim
be adequately supported by *evidence*… …alternative semantics. Similarly, I argue that one widespread way
to gather strong *evidence* for a… …generalization appears to break down is already an achievement; it is *evidence*
against the purported… …concept in the epistemology part—i.e., evidential
variety—there is ample *evidence* of relevance…

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Claveau, F. (2012). Causal Reasoning in Economics: A Selective Exploration of Semantic, Epistemic and Dynamical Aspects. (Doctoral Dissertation). Erasmus School of Philosophy. Retrieved from http://hdl.handle.net/1765/38242

Chicago Manual of Style (16^{th} Edition):

Claveau, Francois. “Causal Reasoning in Economics: A Selective Exploration of Semantic, Epistemic and Dynamical Aspects.” 2012. Doctoral Dissertation, Erasmus School of Philosophy. Accessed September 22, 2019. http://hdl.handle.net/1765/38242.

MLA Handbook (7^{th} Edition):

Claveau, Francois. “Causal Reasoning in Economics: A Selective Exploration of Semantic, Epistemic and Dynamical Aspects.” 2012. Web. 22 Sep 2019.

Vancouver:

Claveau F. Causal Reasoning in Economics: A Selective Exploration of Semantic, Epistemic and Dynamical Aspects. [Internet] [Doctoral dissertation]. Erasmus School of Philosophy; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1765/38242.

Council of Science Editors:

Claveau F. Causal Reasoning in Economics: A Selective Exploration of Semantic, Epistemic and Dynamical Aspects. [Doctoral Dissertation]. Erasmus School of Philosophy; 2012. Available from: http://hdl.handle.net/1765/38242