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You searched for subject:( Bayesian probability theory). Showing records 1 – 30 of 72272 total matches.

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Cornell University

1. Kristensen, Jesper. Uncertainty Quantification With Surrogate Models In Alloy Modeling.

Degree: PhD, Applied Physics, 2015, Cornell University

 The success of computational materials science in designing the materials of the future relies on the computation of materials properties using temporally expensive computer codes.… (more)

Subjects/Keywords: Uncertainty quantification; Surrogate models; Bayesian probability theory

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APA (6th Edition):

Kristensen, J. (2015). Uncertainty Quantification With Surrogate Models In Alloy Modeling. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/40658

Chicago Manual of Style (16th Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling.” 2015. Doctoral Dissertation, Cornell University. Accessed September 27, 2020. http://hdl.handle.net/1813/40658.

MLA Handbook (7th Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling.” 2015. Web. 27 Sep 2020.

Vancouver:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1813/40658.

Council of Science Editors:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40658


Cornell University

2. Jehle, David. Some Results in Bayesian Confirmation Theory With Applications.

Degree: 2008, Cornell University

 This dissertation presents some formal results in Bayesian confirmation theory with novel applications to topics in contemporary epistemology, political science, and legal theory. The primary… (more)

Subjects/Keywords: Bayesian confirmation theory; probability

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APA (6th Edition):

Jehle, D. (2008). Some Results in Bayesian Confirmation Theory With Applications. (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/11622

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jehle, David. “Some Results in Bayesian Confirmation Theory With Applications.” 2008. Thesis, Cornell University. Accessed September 27, 2020. http://hdl.handle.net/1813/11622.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jehle, David. “Some Results in Bayesian Confirmation Theory With Applications.” 2008. Web. 27 Sep 2020.

Vancouver:

Jehle D. Some Results in Bayesian Confirmation Theory With Applications. [Internet] [Thesis]. Cornell University; 2008. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1813/11622.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jehle D. Some Results in Bayesian Confirmation Theory With Applications. [Thesis]. Cornell University; 2008. Available from: http://hdl.handle.net/1813/11622

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

3. Wood, Trevor M. Random finite sets for multitarget tracking with applications.

Degree: PhD, 2011, University of Oxford

 Multitarget tracking is the process of jointly determining the number of targets present and their states from noisy sets of measurements. The difficulty of the… (more)

Subjects/Keywords: 621.38485; Mathematics; Probability theory and stochastic processes; mathematics; Bayesian statistics; random finite set theory

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

APA (6th Edition):

Wood, T. M. (2011). Random finite sets for multitarget tracking with applications. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:09211ed9-7cc1-4401-9ae9-a1ebc2a1f782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558376

Chicago Manual of Style (16th Edition):

Wood, Trevor M. “Random finite sets for multitarget tracking with applications.” 2011. Doctoral Dissertation, University of Oxford. Accessed September 27, 2020. http://ora.ox.ac.uk/objects/uuid:09211ed9-7cc1-4401-9ae9-a1ebc2a1f782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558376.

MLA Handbook (7th Edition):

Wood, Trevor M. “Random finite sets for multitarget tracking with applications.” 2011. Web. 27 Sep 2020.

Vancouver:

Wood TM. Random finite sets for multitarget tracking with applications. [Internet] [Doctoral dissertation]. University of Oxford; 2011. [cited 2020 Sep 27]. Available from: http://ora.ox.ac.uk/objects/uuid:09211ed9-7cc1-4401-9ae9-a1ebc2a1f782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558376.

Council of Science Editors:

Wood TM. Random finite sets for multitarget tracking with applications. [Doctoral Dissertation]. University of Oxford; 2011. Available from: http://ora.ox.ac.uk/objects/uuid:09211ed9-7cc1-4401-9ae9-a1ebc2a1f782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558376


University of Oxford

4. Probst, Cornelius. Bayesian analysis of stochastic point processes for financial applications.

Degree: PhD, 2013, University of Oxford

 A recent application of point processes has emerged from the electronic trading of financial assets. Many securities are now traded on purely electronic exchanges where… (more)

Subjects/Keywords: 322.6501519542; Probability theory and stochastic processes; Computationally-intensive statistics; Probability; Stochastic processes; Statistics (see also social sciences); Bayesian statistics; point processes

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

APA (6th Edition):

Probst, C. (2013). Bayesian analysis of stochastic point processes for financial applications. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:7a756760-380b-4a16-9702-878731c757fb ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606372

Chicago Manual of Style (16th Edition):

Probst, Cornelius. “Bayesian analysis of stochastic point processes for financial applications.” 2013. Doctoral Dissertation, University of Oxford. Accessed September 27, 2020. http://ora.ox.ac.uk/objects/uuid:7a756760-380b-4a16-9702-878731c757fb ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606372.

MLA Handbook (7th Edition):

Probst, Cornelius. “Bayesian analysis of stochastic point processes for financial applications.” 2013. Web. 27 Sep 2020.

Vancouver:

Probst C. Bayesian analysis of stochastic point processes for financial applications. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2020 Sep 27]. Available from: http://ora.ox.ac.uk/objects/uuid:7a756760-380b-4a16-9702-878731c757fb ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606372.

Council of Science Editors:

Probst C. Bayesian analysis of stochastic point processes for financial applications. [Doctoral Dissertation]. University of Oxford; 2013. Available from: http://ora.ox.ac.uk/objects/uuid:7a756760-380b-4a16-9702-878731c757fb ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606372


University of Wisconsin – Milwaukee

5. Maeda, Hotaka. Robust Latent Ability Estimation Based on Item Response Information and Model Fit.

Degree: PhD, Educational Psychology, 2017, University of Wisconsin – Milwaukee

  Aberrant testing behaviors may result in inaccurate person trait estimation. To counter its effects, a new robust ability estimation procedure called downweighting of aberrant… (more)

Subjects/Keywords: Aberrant Behavior; Bayesian; Cheating; Dare; Item Response Theory; Person Fit; Statistics and Probability

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APA (6th Edition):

Maeda, H. (2017). Robust Latent Ability Estimation Based on Item Response Information and Model Fit. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1663

Chicago Manual of Style (16th Edition):

Maeda, Hotaka. “Robust Latent Ability Estimation Based on Item Response Information and Model Fit.” 2017. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 27, 2020. https://dc.uwm.edu/etd/1663.

MLA Handbook (7th Edition):

Maeda, Hotaka. “Robust Latent Ability Estimation Based on Item Response Information and Model Fit.” 2017. Web. 27 Sep 2020.

Vancouver:

Maeda H. Robust Latent Ability Estimation Based on Item Response Information and Model Fit. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2017. [cited 2020 Sep 27]. Available from: https://dc.uwm.edu/etd/1663.

Council of Science Editors:

Maeda H. Robust Latent Ability Estimation Based on Item Response Information and Model Fit. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2017. Available from: https://dc.uwm.edu/etd/1663


Brigham Young University

6. Toronto, Neil B. Trustworthy, Useful Languages for Probabilistic Modeling and Inference.

Degree: PhD, 2014, Brigham Young University

 The ideals of exact modeling, and of putting off approximations as long as possible, make Bayesian practice both successful and difficult. Languages for modeling probabilistic… (more)

Subjects/Keywords: Bayesian; Probability; Domain-Specific Languages; Functional Programming; Semantics; Measure Theory; Computer Sciences

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APA (6th Edition):

Toronto, N. B. (2014). Trustworthy, Useful Languages for Probabilistic Modeling and Inference. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5097&context=etd

Chicago Manual of Style (16th Edition):

Toronto, Neil B. “Trustworthy, Useful Languages for Probabilistic Modeling and Inference.” 2014. Doctoral Dissertation, Brigham Young University. Accessed September 27, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5097&context=etd.

MLA Handbook (7th Edition):

Toronto, Neil B. “Trustworthy, Useful Languages for Probabilistic Modeling and Inference.” 2014. Web. 27 Sep 2020.

Vancouver:

Toronto NB. Trustworthy, Useful Languages for Probabilistic Modeling and Inference. [Internet] [Doctoral dissertation]. Brigham Young University; 2014. [cited 2020 Sep 27]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5097&context=etd.

Council of Science Editors:

Toronto NB. Trustworthy, Useful Languages for Probabilistic Modeling and Inference. [Doctoral Dissertation]. Brigham Young University; 2014. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5097&context=etd

7. Rhodes, Tara A. An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches.

Degree: PhD, Quantitative Research Methods, 2017, U of Denver

  Prior to this study, critical realignment theory, which presupposes eras of substantial and sustained swings in American political party dominance, had only been evaluated… (more)

Subjects/Keywords: Bayesian methods; Critical elections; Critical realignment theory; Political Science; Statistics and Probability

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APA (6th Edition):

Rhodes, T. A. (2017). An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1259

Chicago Manual of Style (16th Edition):

Rhodes, Tara A. “An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches.” 2017. Doctoral Dissertation, U of Denver. Accessed September 27, 2020. https://digitalcommons.du.edu/etd/1259.

MLA Handbook (7th Edition):

Rhodes, Tara A. “An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches.” 2017. Web. 27 Sep 2020.

Vancouver:

Rhodes TA. An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches. [Internet] [Doctoral dissertation]. U of Denver; 2017. [cited 2020 Sep 27]. Available from: https://digitalcommons.du.edu/etd/1259.

Council of Science Editors:

Rhodes TA. An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches. [Doctoral Dissertation]. U of Denver; 2017. Available from: https://digitalcommons.du.edu/etd/1259


University of Western Ontario

8. Benétreau-Dupin, Yann. Probabilistic Reasoning in Cosmology.

Degree: 2015, University of Western Ontario

 Cosmology raises novel philosophical questions regarding the use of probabilities in inference. This work aims at identifying and assessing lines of arguments and problematic principles… (more)

Subjects/Keywords: Probability; Cosmology; Bayesian Confirmation Theory; Anthropic Reasoning; Typicality; Bayesian Model Selection; Cosmology, Relativity, and Gravity; Epistemology; Philosophy; Philosophy of Science; Probability; Statistical Methodology

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APA (6th Edition):

Benétreau-Dupin, Y. (2015). Probabilistic Reasoning in Cosmology. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3337

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Benétreau-Dupin, Yann. “Probabilistic Reasoning in Cosmology.” 2015. Thesis, University of Western Ontario. Accessed September 27, 2020. https://ir.lib.uwo.ca/etd/3337.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Benétreau-Dupin, Yann. “Probabilistic Reasoning in Cosmology.” 2015. Web. 27 Sep 2020.

Vancouver:

Benétreau-Dupin Y. Probabilistic Reasoning in Cosmology. [Internet] [Thesis]. University of Western Ontario; 2015. [cited 2020 Sep 27]. Available from: https://ir.lib.uwo.ca/etd/3337.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benétreau-Dupin Y. Probabilistic Reasoning in Cosmology. [Thesis]. University of Western Ontario; 2015. Available from: https://ir.lib.uwo.ca/etd/3337

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Bratières, Sébastien. Non-parametric Bayesian models for structured output prediction.

Degree: PhD, 2018, University of Cambridge

 Structured output prediction is a machine learning tasks in which an input object is not just assigned a single class, as in classification, but multiple,… (more)

Subjects/Keywords: machine learning; Bayesian models; probability

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APA (6th Edition):

Bratières, S. (2018). Non-parametric Bayesian models for structured output prediction. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/274973

Chicago Manual of Style (16th Edition):

Bratières, Sébastien. “Non-parametric Bayesian models for structured output prediction.” 2018. Doctoral Dissertation, University of Cambridge. Accessed September 27, 2020. https://www.repository.cam.ac.uk/handle/1810/274973.

MLA Handbook (7th Edition):

Bratières, Sébastien. “Non-parametric Bayesian models for structured output prediction.” 2018. Web. 27 Sep 2020.

Vancouver:

Bratières S. Non-parametric Bayesian models for structured output prediction. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2020 Sep 27]. Available from: https://www.repository.cam.ac.uk/handle/1810/274973.

Council of Science Editors:

Bratières S. Non-parametric Bayesian models for structured output prediction. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/274973


University of Hong Kong

10. Chan, Chun-man. On a topic of Bayesian analysis using scale mixtures distributions.

Degree: 2001, University of Hong Kong

Subjects/Keywords: Bayesian statistical decision theory.; Mixture distributions (Probability theory)

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APA (6th Edition):

Chan, C. (2001). On a topic of Bayesian analysis using scale mixtures distributions. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/33984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chan, Chun-man. “On a topic of Bayesian analysis using scale mixtures distributions.” 2001. Thesis, University of Hong Kong. Accessed September 27, 2020. http://hdl.handle.net/10722/33984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chan, Chun-man. “On a topic of Bayesian analysis using scale mixtures distributions.” 2001. Web. 27 Sep 2020.

Vancouver:

Chan C. On a topic of Bayesian analysis using scale mixtures distributions. [Internet] [Thesis]. University of Hong Kong; 2001. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10722/33984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chan C. On a topic of Bayesian analysis using scale mixtures distributions. [Thesis]. University of Hong Kong; 2001. Available from: http://hdl.handle.net/10722/33984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pennsylvania

11. Rahimian, M. Amin. Learning And Decision Making In Groups.

Degree: 2017, University of Pennsylvania

 Many important real-world decision-making problems involve group interactions among individuals with purely informational interactions. Such situations arise for example in jury deliberations, expert committees, medical… (more)

Subjects/Keywords: Bayesian Learning; Bounded Rationality; Computational Complexity; Decision Theory; Group Decision-Making; Social Learning; Library and Information Science; Statistics and Probability

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APA (6th Edition):

Rahimian, M. A. (2017). Learning And Decision Making In Groups. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2880

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rahimian, M Amin. “Learning And Decision Making In Groups.” 2017. Thesis, University of Pennsylvania. Accessed September 27, 2020. https://repository.upenn.edu/edissertations/2880.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rahimian, M Amin. “Learning And Decision Making In Groups.” 2017. Web. 27 Sep 2020.

Vancouver:

Rahimian MA. Learning And Decision Making In Groups. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2020 Sep 27]. Available from: https://repository.upenn.edu/edissertations/2880.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rahimian MA. Learning And Decision Making In Groups. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2880

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Dikshit, Anubhav. Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models.

Degree: Computer and Information Science, 2020, Linköping UniversityLinköping University

  Market attribution is the problem of interpreting the influence of advertisements onthe user’s decision process. Market attribution is a hard problem, and it happens… (more)

Subjects/Keywords: Market Attribution Model; Bayesian Network; Logistic Regression; Data driven marketing; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA (6th Edition):

Dikshit, A. (2020). Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165443

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dikshit, Anubhav. “Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models.” 2020. Thesis, Linköping UniversityLinköping University. Accessed September 27, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dikshit, Anubhav. “Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models.” 2020. Web. 27 Sep 2020.

Vancouver:

Dikshit A. Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models. [Internet] [Thesis]. Linköping UniversityLinköping University; 2020. [cited 2020 Sep 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dikshit A. Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models. [Thesis]. Linköping UniversityLinköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165443

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

  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

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APA (6th 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 (16th 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 27, 2020. https://digitalcommons.wayne.edu/oa_dissertations/1075.

MLA Handbook (7th Edition):

Leigh, Hillary. “The Road Taken: A Between And Within Subjects Study Of Intervention Selection Decisions By Performance Improvement Professionals.” 2014. Web. 27 Sep 2020.

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 2020 Sep 27]. 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 Colorado

14. Aicher, Christopher Vinyu. The Weighted Stochastic Block Model.

Degree: MS, Applied Mathematics, 2014, University of Colorado

  Community detection is an important task in network analysis, in which we aim to learn a network partition that groups together vertices with similar… (more)

Subjects/Keywords: Bayesian; Community Detection; Generative Models; Machine Learning; Networks; Variational Inference; Applied Mathematics; Computer Sciences; Statistics and Probability; Theory and Algorithms

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APA (6th Edition):

Aicher, C. V. (2014). The Weighted Stochastic Block Model. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/50

Chicago Manual of Style (16th Edition):

Aicher, Christopher Vinyu. “The Weighted Stochastic Block Model.” 2014. Masters Thesis, University of Colorado. Accessed September 27, 2020. https://scholar.colorado.edu/appm_gradetds/50.

MLA Handbook (7th Edition):

Aicher, Christopher Vinyu. “The Weighted Stochastic Block Model.” 2014. Web. 27 Sep 2020.

Vancouver:

Aicher CV. The Weighted Stochastic Block Model. [Internet] [Masters thesis]. University of Colorado; 2014. [cited 2020 Sep 27]. Available from: https://scholar.colorado.edu/appm_gradetds/50.

Council of Science Editors:

Aicher CV. The Weighted Stochastic Block Model. [Masters Thesis]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/appm_gradetds/50


Stockholm University

15. Manikas, Vasileios. A Bayesian Finite Mixture Model for Network-Telecommunication Data.

Degree: Statistics, 2016, Stockholm University

  A data modeling procedure called Mixture model, is introduced beneficial to the characteristics of our data. Mixture models have been proved flexible and easy… (more)

Subjects/Keywords: Mixture Model; Bayesian Inference; Markov Chain Monte Carlo; Gibbs Sampling; Network-Telecommunication Lab Data; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA (6th Edition):

Manikas, V. (2016). A Bayesian Finite Mixture Model for Network-Telecommunication Data. (Thesis). Stockholm University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146039

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Manikas, Vasileios. “A Bayesian Finite Mixture Model for Network-Telecommunication Data.” 2016. Thesis, Stockholm University. Accessed September 27, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146039.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Manikas, Vasileios. “A Bayesian Finite Mixture Model for Network-Telecommunication Data.” 2016. Web. 27 Sep 2020.

Vancouver:

Manikas V. A Bayesian Finite Mixture Model for Network-Telecommunication Data. [Internet] [Thesis]. Stockholm University; 2016. [cited 2020 Sep 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146039.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Manikas V. A Bayesian Finite Mixture Model for Network-Telecommunication Data. [Thesis]. Stockholm University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146039

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Salimans, Tim. Essays in Likelihood-Based Computational Econometrics.

Degree: 2013, Erasmus School of Economics

 textabstractThe theory of probabilities is basically only common sense reduced to a calculus. Pierre Simon Laplace, 1812 The quote above is from Pierre Simon Laplace’s… (more)

Subjects/Keywords: Bayesian analysis; computational efficiency; likelihood function; probability theory

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APA (6th Edition):

Salimans, T. (2013). Essays in Likelihood-Based Computational Econometrics. (Doctoral Dissertation). Erasmus School of Economics. Retrieved from http://hdl.handle.net/1765/41197

Chicago Manual of Style (16th Edition):

Salimans, Tim. “Essays in Likelihood-Based Computational Econometrics.” 2013. Doctoral Dissertation, Erasmus School of Economics. Accessed September 27, 2020. http://hdl.handle.net/1765/41197.

MLA Handbook (7th Edition):

Salimans, Tim. “Essays in Likelihood-Based Computational Econometrics.” 2013. Web. 27 Sep 2020.

Vancouver:

Salimans T. Essays in Likelihood-Based Computational Econometrics. [Internet] [Doctoral dissertation]. Erasmus School of Economics; 2013. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1765/41197.

Council of Science Editors:

Salimans T. Essays in Likelihood-Based Computational Econometrics. [Doctoral Dissertation]. Erasmus School of Economics; 2013. Available from: http://hdl.handle.net/1765/41197


University of Oxford

17. Wallman, Kaj Mikael Joakim. Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting.

Degree: PhD, 2013, University of Oxford

 Cardiovascular disease is the primary cause of death globally. Although this group encompasses a heterogeneous range of conditions, many of these diseases are associated with… (more)

Subjects/Keywords: 616.1; Biology and other natural sciences (mathematics); Mathematical biology; Partial differential equations; Probability theory and stochastic processes; Cardiovascular disease; Probability; cardiac simulations; Bayesian inference; parameter estimation; cardiac electrophysiology

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

APA (6th Edition):

Wallman, K. M. J. (2013). Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211

Chicago Manual of Style (16th Edition):

Wallman, Kaj Mikael Joakim. “Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting.” 2013. Doctoral Dissertation, University of Oxford. Accessed September 27, 2020. http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211.

MLA Handbook (7th Edition):

Wallman, Kaj Mikael Joakim. “Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting.” 2013. Web. 27 Sep 2020.

Vancouver:

Wallman KMJ. Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2020 Sep 27]. Available from: http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211.

Council of Science Editors:

Wallman KMJ. Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting. [Doctoral Dissertation]. University of Oxford; 2013. Available from: http://ora.ox.ac.uk/objects/uuid:2d5573b9-5115-4434-b9c8-60f8d0531f86 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635211

18. Narayanan, Bhargav. Problems in Ramsey theory, probabilistic combinatorics and extremal graph theory.

Degree: PhD, 2015, University of Cambridge

In this dissertation, we treat several problems in Ramsey theory, probabilistic combinatorics and extremal graph theory.

Subjects/Keywords: Combinatorics; Probability theory

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

APA (6th Edition):

Narayanan, B. (2015). Problems in Ramsey theory, probabilistic combinatorics and extremal graph theory. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/252850https://www.repository.cam.ac.uk/bitstream/1810/252850/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/252850/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/5/thesis.pdf.jpg

Chicago Manual of Style (16th Edition):

Narayanan, Bhargav. “Problems in Ramsey theory, probabilistic combinatorics and extremal graph theory.” 2015. Doctoral Dissertation, University of Cambridge. Accessed September 27, 2020. https://www.repository.cam.ac.uk/handle/1810/252850https://www.repository.cam.ac.uk/bitstream/1810/252850/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/252850/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/5/thesis.pdf.jpg.

MLA Handbook (7th Edition):

Narayanan, Bhargav. “Problems in Ramsey theory, probabilistic combinatorics and extremal graph theory.” 2015. Web. 27 Sep 2020.

Vancouver:

Narayanan B. Problems in Ramsey theory, probabilistic combinatorics and extremal graph theory. [Internet] [Doctoral dissertation]. University of Cambridge; 2015. [cited 2020 Sep 27]. Available from: https://www.repository.cam.ac.uk/handle/1810/252850https://www.repository.cam.ac.uk/bitstream/1810/252850/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/252850/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/5/thesis.pdf.jpg.

Council of Science Editors:

Narayanan B. Problems in Ramsey theory, probabilistic combinatorics and extremal graph theory. [Doctoral Dissertation]. University of Cambridge; 2015. Available from: https://www.repository.cam.ac.uk/handle/1810/252850https://www.repository.cam.ac.uk/bitstream/1810/252850/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/252850/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/252850/5/thesis.pdf.jpg


University of Oxford

19. McInerney, Robert E. Decision making under uncertainty.

Degree: PhD, 2014, University of Oxford

 Operating and interacting in an environment requires the ability to manage uncertainty and to choose definite courses of action. In this thesis we look to… (more)

Subjects/Keywords: 006.3; Probability theory and stochastic processes; Artificial Intelligence; Probability; Stochastic processes; Computing; Applications and algorithms; Information engineering; Robotics; Engineering & allied sciences; machine learning; probability theory; Bayesian; decision making; Reinforcement Learning; Gaussian Process; inference; approximate inference; Multi-armed Bandit; optimal decision making; uncertainty; managing uncertainty

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

APA (6th Edition):

McInerney, R. E. (2014). Decision making under uncertainty. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:a34e87ad-8330-42df-8ba6-d55f10529331 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.692860

Chicago Manual of Style (16th Edition):

McInerney, Robert E. “Decision making under uncertainty.” 2014. Doctoral Dissertation, University of Oxford. Accessed September 27, 2020. http://ora.ox.ac.uk/objects/uuid:a34e87ad-8330-42df-8ba6-d55f10529331 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.692860.

MLA Handbook (7th Edition):

McInerney, Robert E. “Decision making under uncertainty.” 2014. Web. 27 Sep 2020.

Vancouver:

McInerney RE. Decision making under uncertainty. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2020 Sep 27]. Available from: http://ora.ox.ac.uk/objects/uuid:a34e87ad-8330-42df-8ba6-d55f10529331 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.692860.

Council of Science Editors:

McInerney RE. Decision making under uncertainty. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:a34e87ad-8330-42df-8ba6-d55f10529331 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.692860


University of Pennsylvania

20. Chang, Welton. Accounting For The Situational Context Of Accountability.

Degree: 2017, University of Pennsylvania

 Accountability is often presented as a panacea for behavioral ailments. This one-size-fits-all approach to a multi-dimensional construct ignores a key component of the effectiveness of… (more)

Subjects/Keywords: accountability; Bayesian; outcome; probability; process; Psychology

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

APA (6th Edition):

Chang, W. (2017). Accounting For The Situational Context Of Accountability. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2728

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chang, Welton. “Accounting For The Situational Context Of Accountability.” 2017. Thesis, University of Pennsylvania. Accessed September 27, 2020. https://repository.upenn.edu/edissertations/2728.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chang, Welton. “Accounting For The Situational Context Of Accountability.” 2017. Web. 27 Sep 2020.

Vancouver:

Chang W. Accounting For The Situational Context Of Accountability. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2020 Sep 27]. Available from: https://repository.upenn.edu/edissertations/2728.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang W. Accounting For The Situational Context Of Accountability. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2728

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Bratières, Sébastien. Non-parametric Bayesian models for structured output prediction.

Degree: PhD, 2018, University of Cambridge

 Structured output prediction is a machine learning tasks in which an input object is not just assigned a single class, as in classification, but multiple,… (more)

Subjects/Keywords: 006.3; machine learning; Bayesian models; probability

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APA (6th Edition):

Bratières, S. (2018). Non-parametric Bayesian models for structured output prediction. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/274973 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744725

Chicago Manual of Style (16th Edition):

Bratières, Sébastien. “Non-parametric Bayesian models for structured output prediction.” 2018. Doctoral Dissertation, University of Cambridge. Accessed September 27, 2020. https://www.repository.cam.ac.uk/handle/1810/274973 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744725.

MLA Handbook (7th Edition):

Bratières, Sébastien. “Non-parametric Bayesian models for structured output prediction.” 2018. Web. 27 Sep 2020.

Vancouver:

Bratières S. Non-parametric Bayesian models for structured output prediction. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2020 Sep 27]. Available from: https://www.repository.cam.ac.uk/handle/1810/274973 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744725.

Council of Science Editors:

Bratières S. Non-parametric Bayesian models for structured output prediction. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/274973 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744725


Brigham Young University

22. Butler, Allison M. Hierarchical Probit Models for Ordinal Ratings Data.

Degree: MS, 2011, Brigham Young University

 University students often complete evaluations of their courses and instructors. The evaluation tool typically contains questions about the course and the instructor on an ordinal… (more)

Subjects/Keywords: Bayesian; probit; ordinal; Statistics and Probability

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

APA (6th Edition):

Butler, A. M. (2011). Hierarchical Probit Models for Ordinal Ratings Data. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3655&context=etd

Chicago Manual of Style (16th Edition):

Butler, Allison M. “Hierarchical Probit Models for Ordinal Ratings Data.” 2011. Masters Thesis, Brigham Young University. Accessed September 27, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3655&context=etd.

MLA Handbook (7th Edition):

Butler, Allison M. “Hierarchical Probit Models for Ordinal Ratings Data.” 2011. Web. 27 Sep 2020.

Vancouver:

Butler AM. Hierarchical Probit Models for Ordinal Ratings Data. [Internet] [Masters thesis]. Brigham Young University; 2011. [cited 2020 Sep 27]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3655&context=etd.

Council of Science Editors:

Butler AM. Hierarchical Probit Models for Ordinal Ratings Data. [Masters Thesis]. Brigham Young University; 2011. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3655&context=etd


University of Illinois – Chicago

23. Hanagooduraghavendra, Ajithkashyap. Evaluation and Optimization of Liquefaction Potential Index Using Both SPT and CPT.

Degree: 2017, University of Illinois – Chicago

 The liquefaction potential index (LPI) is a measure of the likelihood of liquefaction. An assessment is made of the LPI using standard penetration test data… (more)

Subjects/Keywords: Liquefaction; Liquefaction Potential Index; Bayesian Probability

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

APA (6th Edition):

Hanagooduraghavendra, A. (2017). Evaluation and Optimization of Liquefaction Potential Index Using Both SPT and CPT. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22054

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hanagooduraghavendra, Ajithkashyap. “Evaluation and Optimization of Liquefaction Potential Index Using Both SPT and CPT.” 2017. Thesis, University of Illinois – Chicago. Accessed September 27, 2020. http://hdl.handle.net/10027/22054.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hanagooduraghavendra, Ajithkashyap. “Evaluation and Optimization of Liquefaction Potential Index Using Both SPT and CPT.” 2017. Web. 27 Sep 2020.

Vancouver:

Hanagooduraghavendra A. Evaluation and Optimization of Liquefaction Potential Index Using Both SPT and CPT. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10027/22054.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hanagooduraghavendra A. Evaluation and Optimization of Liquefaction Potential Index Using Both SPT and CPT. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22054

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

24. Nawaz, Muhammad Atif. Efficient probabilistic inversion of geophysical data.

Degree: PhD, 2019, University of Edinburgh

 Estimation of uncertainties is critical for subsequent decision making in all applications of geosciences such as geological hazard analysis and risk mitigation, management and exploitation… (more)

Subjects/Keywords: seismic; Bayesian; inversion; probability; machine learning; geophysics

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APA (6th Edition):

Nawaz, M. A. (2019). Efficient probabilistic inversion of geophysical data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/37124

Chicago Manual of Style (16th Edition):

Nawaz, Muhammad Atif. “Efficient probabilistic inversion of geophysical data.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed September 27, 2020. http://hdl.handle.net/1842/37124.

MLA Handbook (7th Edition):

Nawaz, Muhammad Atif. “Efficient probabilistic inversion of geophysical data.” 2019. Web. 27 Sep 2020.

Vancouver:

Nawaz MA. Efficient probabilistic inversion of geophysical data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1842/37124.

Council of Science Editors:

Nawaz MA. Efficient probabilistic inversion of geophysical data. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/37124


Texas A&M University

25. Shahrokh Esfahani, Mohammad. Using Prior Knowledge in the Design of Classifiers.

Degree: PhD, Electrical Engineering, 2014, Texas A&M University

 Small samples are commonplace in genomic/proteomic classification, the result being inadequate classifier design and poor error estimation. A promising approach to alleviate the problem is… (more)

Subjects/Keywords: Prior Knowledge; Classifier Design; Regularization; Prior Probability Construction; Bayesian; Bayesian Classification

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APA (6th Edition):

Shahrokh Esfahani, M. (2014). Using Prior Knowledge in the Design of Classifiers. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152567

Chicago Manual of Style (16th Edition):

Shahrokh Esfahani, Mohammad. “Using Prior Knowledge in the Design of Classifiers.” 2014. Doctoral Dissertation, Texas A&M University. Accessed September 27, 2020. http://hdl.handle.net/1969.1/152567.

MLA Handbook (7th Edition):

Shahrokh Esfahani, Mohammad. “Using Prior Knowledge in the Design of Classifiers.” 2014. Web. 27 Sep 2020.

Vancouver:

Shahrokh Esfahani M. Using Prior Knowledge in the Design of Classifiers. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1969.1/152567.

Council of Science Editors:

Shahrokh Esfahani M. Using Prior Knowledge in the Design of Classifiers. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152567


KTH

26. Bergqvist, Oscar. Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation.

Degree: Mathematical Statistics, 2020, KTH

Natural history models for breast cancer describe the unobservable disease progression. These models can either be fitted using likelihood-based estimation to data on individual… (more)

Subjects/Keywords: Approximate Bayesian Computation; ABC; breast cancer natural history models; random effects; Bayesian statistics; likelihood-free inference; Approximate Bayesian computation; ABC; natural history models för bröstcancer; random effects; bayesiansk statistik; likelihood-fri inferens; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA (6th Edition):

Bergqvist, O. (2020). Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bergqvist, Oscar. “Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation.” 2020. Thesis, KTH. Accessed September 27, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bergqvist, Oscar. “Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation.” 2020. Web. 27 Sep 2020.

Vancouver:

Bergqvist O. Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation. [Internet] [Thesis]. KTH; 2020. [cited 2020 Sep 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bergqvist O. Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

27. Traverso, Michael G. Bayesian prediction of functions with applications to manufacturing and marketing.

Degree: MS, 0127, 2011, University of Illinois – Urbana-Champaign

Bayesian predictive methods have a number of advantages over traditional statistical methods. For one, Bayesian methods allow one to aggregate information from multiple sources (theoretical… (more)

Subjects/Keywords: Bayesian prediction; Demand Curve Prediction; Stability Limit Prediction; Decision Analysis; Optimal Design of Experiments; Markov; probability theory; optimal pricing decisions; decision making in marketing

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APA (6th Edition):

Traverso, M. G. (2011). Bayesian prediction of functions with applications to manufacturing and marketing. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18318

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Traverso, Michael G. “Bayesian prediction of functions with applications to manufacturing and marketing.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed September 27, 2020. http://hdl.handle.net/2142/18318.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Traverso, Michael G. “Bayesian prediction of functions with applications to manufacturing and marketing.” 2011. Web. 27 Sep 2020.

Vancouver:

Traverso MG. Bayesian prediction of functions with applications to manufacturing and marketing. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2142/18318.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Traverso MG. Bayesian prediction of functions with applications to manufacturing and marketing. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18318

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

28. Greenblatt, Rafael L., 1980-. Effects of quenched randomness on classical and quantum phase transitions.

Degree: PhD, Physics and Astronomy, 2010, Rutgers University

This dissertation describes the e ffect of quenched randomness on fi rst order phase transitions in lattice systems, classical and quantum. It is proven that… (more)

Subjects/Keywords: Lattice theory; Quantum theory; Distribution (Probability theory)

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APA (6th Edition):

Greenblatt, Rafael L., 1. (2010). Effects of quenched randomness on classical and quantum phase transitions. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056357

Chicago Manual of Style (16th Edition):

Greenblatt, Rafael L., 1980-. “Effects of quenched randomness on classical and quantum phase transitions.” 2010. Doctoral Dissertation, Rutgers University. Accessed September 27, 2020. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056357.

MLA Handbook (7th Edition):

Greenblatt, Rafael L., 1980-. “Effects of quenched randomness on classical and quantum phase transitions.” 2010. Web. 27 Sep 2020.

Vancouver:

Greenblatt, Rafael L. 1. Effects of quenched randomness on classical and quantum phase transitions. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2020 Sep 27]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056357.

Council of Science Editors:

Greenblatt, Rafael L. 1. Effects of quenched randomness on classical and quantum phase transitions. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056357


University of Lund

29. Wallin, Jonas. Stochastic Models Involving Second Order Lévy Motions.

Degree: 2014, University of Lund

 This thesis is based on five papers (A-E) treating estimation methods for unbounded densities, random fields generated by Lévy processes, behavior of Lévy processes at… (more)

Subjects/Keywords: Probability Theory and Statistics

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APA (6th Edition):

Wallin, J. (2014). Stochastic Models Involving Second Order Lévy Motions. (Doctoral Dissertation). University of Lund. Retrieved from https://lup.lub.lu.se/record/4284726 ; https://portal.research.lu.se/ws/files/6123183/4284740.pdf

Chicago Manual of Style (16th Edition):

Wallin, Jonas. “Stochastic Models Involving Second Order Lévy Motions.” 2014. Doctoral Dissertation, University of Lund. Accessed September 27, 2020. https://lup.lub.lu.se/record/4284726 ; https://portal.research.lu.se/ws/files/6123183/4284740.pdf.

MLA Handbook (7th Edition):

Wallin, Jonas. “Stochastic Models Involving Second Order Lévy Motions.” 2014. Web. 27 Sep 2020.

Vancouver:

Wallin J. Stochastic Models Involving Second Order Lévy Motions. [Internet] [Doctoral dissertation]. University of Lund; 2014. [cited 2020 Sep 27]. Available from: https://lup.lub.lu.se/record/4284726 ; https://portal.research.lu.se/ws/files/6123183/4284740.pdf.

Council of Science Editors:

Wallin J. Stochastic Models Involving Second Order Lévy Motions. [Doctoral Dissertation]. University of Lund; 2014. Available from: https://lup.lub.lu.se/record/4284726 ; https://portal.research.lu.se/ws/files/6123183/4284740.pdf

30. Hossain, Md. Fitrat. Developing a testing procedure for the parameters of the bivariate geometric distribution: Title on signature form: Developing testing procedure for the parameters of bivariate geometric distribution.

Degree: Thesis (M.S.), 2016, Ball State University

 Bivariate geometric distribution is an extension to the univariate geometric distribution that models the number of trials to get the rst success. Thus a bivariate… (more)

Subjects/Keywords: Distribution (Probability theory); Deviation (Mathematics)

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

APA (6th Edition):

Hossain, M. F. (2016). Developing a testing procedure for the parameters of the bivariate geometric distribution: Title on signature form: Developing testing procedure for the parameters of bivariate geometric distribution. (Masters Thesis). Ball State University. Retrieved from http://cardinalscholar.bsu.edu/handle/123456789/200183

Chicago Manual of Style (16th Edition):

Hossain, Md Fitrat. “Developing a testing procedure for the parameters of the bivariate geometric distribution: Title on signature form: Developing testing procedure for the parameters of bivariate geometric distribution.” 2016. Masters Thesis, Ball State University. Accessed September 27, 2020. http://cardinalscholar.bsu.edu/handle/123456789/200183.

MLA Handbook (7th Edition):

Hossain, Md Fitrat. “Developing a testing procedure for the parameters of the bivariate geometric distribution: Title on signature form: Developing testing procedure for the parameters of bivariate geometric distribution.” 2016. Web. 27 Sep 2020.

Vancouver:

Hossain MF. Developing a testing procedure for the parameters of the bivariate geometric distribution: Title on signature form: Developing testing procedure for the parameters of bivariate geometric distribution. [Internet] [Masters thesis]. Ball State University; 2016. [cited 2020 Sep 27]. Available from: http://cardinalscholar.bsu.edu/handle/123456789/200183.

Council of Science Editors:

Hossain MF. Developing a testing procedure for the parameters of the bivariate geometric distribution: Title on signature form: Developing testing procedure for the parameters of bivariate geometric distribution. [Masters Thesis]. Ball State University; 2016. Available from: http://cardinalscholar.bsu.edu/handle/123456789/200183

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