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You searched for `subject:(Bayesian methods)`

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283 total matches.

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- 2010 – 2014 (132)
- 2005 – 2009 (63)
- 2000 – 2004 (17)

Universities

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- Statistics (15)
- Biostatistics (12)

Degrees

- PhD (79)
- Docteur es (25)
- MS (15)
- Mestrado (12)

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1.
Gu, Chenyang.
Statistical Missing Data *Methods* with Applications to Health
Services Research.

Degree: Biostatistics, 2016, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:730655/

► This dissertation presents three statistical missing data *methods* with applications to health services research. The assessment of patients' functional status across the continuum of care…
(more)

Subjects/Keywords: Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Gu, C. (2016). Statistical Missing Data Methods with Applications to Health Services Research. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:730655/

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):

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Thesis, Brown University. Accessed March 19, 2019. https://repository.library.brown.edu/studio/item/bdr:730655/.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Web. 19 Mar 2019.

Vancouver:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Internet] [Thesis]. Brown University; 2016. [cited 2019 Mar 19]. Available from: https://repository.library.brown.edu/studio/item/bdr:730655/.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Thesis]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:730655/

Not specified: Masters Thesis or Doctoral Dissertation

University of British Columbia

2.
Brumm, Jochen.
Finding functional groups of genes using pairwise relational data : *methods* and applications
.

Degree: 2008, University of British Columbia

URL: http://hdl.handle.net/2429/688

► Genes, the fundamental building blocks of life, act together (often through their derived proteins) in modules such as protein complexes and molecular pathways to achieve…
(more)

Subjects/Keywords: Statistics; Genomics; Bayesian methods

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

APA (6^{th} Edition):

Brumm, J. (2008). Finding functional groups of genes using pairwise relational data : methods and applications . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/688

Not specified: Masters Thesis or Doctoral Dissertation

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

Brumm, Jochen. “Finding functional groups of genes using pairwise relational data : methods and applications .” 2008. Thesis, University of British Columbia. Accessed March 19, 2019. http://hdl.handle.net/2429/688.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Brumm, Jochen. “Finding functional groups of genes using pairwise relational data : methods and applications .” 2008. Web. 19 Mar 2019.

Vancouver:

Brumm J. Finding functional groups of genes using pairwise relational data : methods and applications . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2429/688.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brumm J. Finding functional groups of genes using pairwise relational data : methods and applications . [Thesis]. University of British Columbia; 2008. Available from: http://hdl.handle.net/2429/688

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

3.
Atkinson, William H., 1980-.
Spatial Poisson regression : *Bayesian* approach correcting for measurement error with applications.

Degree: Statistical Sciences., 2010, Baylor University

URL: http://hdl.handle.net/2104/8019

► Under and over reporting is a common problem in social science research, adverse events associated with drug use, and many other areas of research. Furthermore,…
(more)

Subjects/Keywords: Statistics.; Statistical modeling.; Bayesian methods.

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APA (6^{th} Edition):

Atkinson, William H., 1. (2010). Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8019

Not specified: Masters Thesis or Doctoral Dissertation

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

Atkinson, William H., 1980-. “Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. ” 2010. Thesis, Baylor University. Accessed March 19, 2019. http://hdl.handle.net/2104/8019.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Atkinson, William H., 1980-. “Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. ” 2010. Web. 19 Mar 2019.

Vancouver:

Atkinson, William H. 1. Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. [Internet] [Thesis]. Baylor University; 2010. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2104/8019.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Atkinson, William H. 1. Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. [Thesis]. Baylor University; 2010. Available from: http://hdl.handle.net/2104/8019

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

4.
Zhao, Keyan.
Application of *Bayesian* *methods* in association
mapping.

Degree: MS, Statistics, 2009, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/849

► There is great interest in the use of computationally intensive *methods* for fine mapping of marker data. This thesis proposed a method to analyze diploid…
(more)

Subjects/Keywords: association mapping; Bayesian methods

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APA (6^{th} Edition):

Zhao, K. (2009). Application of Bayesian methods in association mapping. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/849

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

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Masters Thesis, University of Southern California. Accessed March 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/849.

MLA Handbook (7^{th} Edition):

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Web. 19 Mar 2019.

Vancouver:

Zhao K. Application of Bayesian methods in association mapping. [Internet] [Masters thesis]. University of Southern California; 2009. [cited 2019 Mar 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/849.

Council of Science Editors:

Zhao K. Application of Bayesian methods in association mapping. [Masters Thesis]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/849

Queensland University of Technology

5.
Donald, Margaret.
Using *Bayesian* *methods* for the estimation of uncertainty in complex statistical models.

Degree: 2011, Queensland University of Technology

URL: https://eprints.qut.edu.au/47132/

► The research objectives of this thesis were to contribute to *Bayesian* statistical methodology by contributing to risk assessment statistical methodology, and to spatial and spatio-temporal…
(more)

Subjects/Keywords: Bayesian methods; complex statistical models

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

APA (6^{th} Edition):

Donald, M. (2011). Using Bayesian methods for the estimation of uncertainty in complex statistical models. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/47132/

Not specified: Masters Thesis or Doctoral Dissertation

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

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Thesis, Queensland University of Technology. Accessed March 19, 2019. https://eprints.qut.edu.au/47132/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Web. 19 Mar 2019.

Vancouver:

Donald M. Using Bayesian methods for the estimation of uncertainty in complex statistical models. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2019 Mar 19]. Available from: https://eprints.qut.edu.au/47132/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Donald M. Using Bayesian methods for the estimation of uncertainty in complex statistical models. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/47132/

Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

6. Caldararu, Silvia. Understanding and predicting global leaf phenology using satellite observations of vegetation.

Degree: PhD, 2013, University of Edinburgh

URL: http://hdl.handle.net/1842/7627

► Leaf phenology refers to the timing of leaf life cycle events and is essential to our understanding of the earth system as it impacts the…
(more)

Subjects/Keywords: 578.4; phenology; global vegetation models; Bayesian methods

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

APA (6^{th} Edition):

Caldararu, S. (2013). Understanding and predicting global leaf phenology using satellite observations of vegetation. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/7627

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

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Doctoral Dissertation, University of Edinburgh. Accessed March 19, 2019. http://hdl.handle.net/1842/7627.

MLA Handbook (7^{th} Edition):

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Web. 19 Mar 2019.

Vancouver:

Caldararu S. Understanding and predicting global leaf phenology using satellite observations of vegetation. [Internet] [Doctoral dissertation]. University of Edinburgh; 2013. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1842/7627.

Council of Science Editors:

Caldararu S. Understanding and predicting global leaf phenology using satellite observations of vegetation. [Doctoral Dissertation]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/7627

Baylor University

7. [No author]. Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence.

Degree: 2015, Baylor University

URL: http://hdl.handle.net/2104/9496

► In this dissertation we consider a first-order Markov dependence model for a short sequence of correlated Bernoulli random variables. Specifically, we offer logistic regression models…
(more)

Subjects/Keywords: First-order Markov dependence. Bayesian methods.

Record Details Similar Records

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

APA (6^{th} Edition):

author], [. (2015). Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9496

Not specified: Masters Thesis or Doctoral Dissertation

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

author], [No. “Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. ” 2015. Thesis, Baylor University. Accessed March 19, 2019. http://hdl.handle.net/2104/9496.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. ” 2015. Web. 19 Mar 2019.

Vancouver:

author] [. Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. [Internet] [Thesis]. Baylor University; 2015. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2104/9496.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. [Thesis]. Baylor University; 2015. Available from: http://hdl.handle.net/2104/9496

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

8.
[No author].
Applications of *Bayesian* quantile regression and sample size determination.

Degree: 2018, Baylor University

URL: http://hdl.handle.net/2104/10372

► *Bayesian* statistical *methods* reverse the philosophy of traditional statistical practice by treating parameters as random, rather than fixed. In so doing, *Bayesian* *methods* are able…
(more)

Subjects/Keywords: Bayesian methods. Quantile regression. Sample size determination.

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

APA (6^{th} Edition):

author], [. (2018). Applications of Bayesian quantile regression and sample size determination. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10372

Not specified: Masters Thesis or Doctoral Dissertation

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

author], [No. “Applications of Bayesian quantile regression and sample size determination. ” 2018. Thesis, Baylor University. Accessed March 19, 2019. http://hdl.handle.net/2104/10372.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Applications of Bayesian quantile regression and sample size determination. ” 2018. Web. 19 Mar 2019.

Vancouver:

author] [. Applications of Bayesian quantile regression and sample size determination. [Internet] [Thesis]. Baylor University; 2018. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2104/10372.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Applications of Bayesian quantile regression and sample size determination. [Thesis]. Baylor University; 2018. Available from: http://hdl.handle.net/2104/10372

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

9.
Peeling, Paul Halliday.
*Bayesian**methods* in music modelling.

Degree: PhD, 2011, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

► This thesis presents several hierarchical generative *Bayesian* models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical…
(more)

Subjects/Keywords: 780; Music modelling; Signal processing; Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Peeling, P. H. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

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

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed March 19, 2019. https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

MLA Handbook (7^{th} Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Web. 19 Mar 2019.

Vancouver:

Peeling PH. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2019 Mar 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

Council of Science Editors:

Peeling PH. Bayesian methods in music modelling. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

University of Cambridge

10.
Peeling, Paul.
*Bayesian**methods* in music modelling
.

Degree: 2011, University of Cambridge

URL: http://www.dspace.cam.ac.uk/handle/1810/237236

► This thesis presents several hierarchical generative *Bayesian* models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical…
(more)

Subjects/Keywords: Music modelling; Signal processing; Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Peeling, P. (2011). Bayesian methods in music modelling . (Thesis). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/237236

Not specified: Masters Thesis or Doctoral Dissertation

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

Peeling, Paul. “Bayesian methods in music modelling .” 2011. Thesis, University of Cambridge. Accessed March 19, 2019. http://www.dspace.cam.ac.uk/handle/1810/237236.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Peeling, Paul. “Bayesian methods in music modelling .” 2011. Web. 19 Mar 2019.

Vancouver:

Peeling P. Bayesian methods in music modelling . [Internet] [Thesis]. University of Cambridge; 2011. [cited 2019 Mar 19]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Peeling P. Bayesian methods in music modelling . [Thesis]. University of Cambridge; 2011. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

11. Gan, Quan. Topics in econometrics.

Degree: Economics, 2013, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true

► Multivariate data modelling is an important and growing area of econometrics. There are two general approaches of modelling multivariate data: 1) modelling margins and copula…
(more)

Subjects/Keywords: Skew-t Distribution; Bayesian methods; Factor models

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APA (6^{th} Edition):

Gan, Q. (2013). Topics in econometrics. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true

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

Gan, Quan. “Topics in econometrics.” 2013. Doctoral Dissertation, University of New South Wales. Accessed March 19, 2019. http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Gan, Quan. “Topics in econometrics.” 2013. Web. 19 Mar 2019.

Vancouver:

Gan Q. Topics in econometrics. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2019 Mar 19]. Available from: http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true.

Council of Science Editors:

Gan Q. Topics in econometrics. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true

North Carolina State University

12.
DiCasoli, Carl Matthew.
* Bayesian* Regression

Degree: PhD, Statistics, 2009, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/4743

► In survival data analysis, the proportional hazards (PH), accelerated failure time (AFT), and proportional odds (PO) models are commonly used semiparametric models for the comparison…
(more)

Subjects/Keywords: variational methods; Bayesian inference; survival analysis

Record Details Similar Records

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

APA (6^{th} Edition):

DiCasoli, C. M. (2009). Bayesian Regression Methods for Crossing Survival Curves. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4743

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

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Doctoral Dissertation, North Carolina State University. Accessed March 19, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4743.

MLA Handbook (7^{th} Edition):

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Web. 19 Mar 2019.

Vancouver:

DiCasoli CM. Bayesian Regression Methods for Crossing Survival Curves. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Mar 19]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4743.

Council of Science Editors:

DiCasoli CM. Bayesian Regression Methods for Crossing Survival Curves. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4743

University of Edinburgh

13.
Nagappa, Sharad.
Time-varying frequency analysis of bat echolocation signals using Monte Carlo * methods*.

Degree: 2010, University of Edinburgh

URL: http://hdl.handle.net/1842/4622

► Echolocation in bats is a *subject* that has received much attention over the last few decades. Bat echolocation calls have evolved over millions of years…
(more)

Subjects/Keywords: 621.382; time-frequency analysis; Monte Carlo methods; bat echolocation; Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Nagappa, S. (2010). Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4622

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

Nagappa, Sharad. “Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed March 19, 2019. http://hdl.handle.net/1842/4622.

MLA Handbook (7^{th} Edition):

Nagappa, Sharad. “Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods.” 2010. Web. 19 Mar 2019.

Vancouver:

Nagappa S. Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1842/4622.

Council of Science Editors:

Nagappa S. Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4622

University of Helsinki

14. Jälkö, Joonas. Privacy-aware variational inference.

Degree: Department of Mathematics and Statistics; Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten, Institutionen för matematik och statistik, 2017, University of Helsinki

URL: http://hdl.handle.net/10138/228858

► This thesis focuses on privacy-preserving statistical inference. We use a probabilistic point of view of privacy called differential privacy. Differential privacy ensures that replacing one…
(more)

Subjects/Keywords: Differential privacy; Variational Bayesian methods; Machine learning; Bayesian inference; Tillämpad matematik; Applied Mathematics; Soveltava matematiikka; Differential privacy; Variational Bayesian methods; Machine learning; Bayesian inference

Record Details Similar Records

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

APA (6^{th} Edition):

Jälkö, J. (2017). Privacy-aware variational inference. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/228858

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

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Masters Thesis, University of Helsinki. Accessed March 19, 2019. http://hdl.handle.net/10138/228858.

MLA Handbook (7^{th} Edition):

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Web. 19 Mar 2019.

Vancouver:

Jälkö J. Privacy-aware variational inference. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10138/228858.

Council of Science Editors:

Jälkö J. Privacy-aware variational inference. [Masters Thesis]. University of Helsinki; 2017. Available from: http://hdl.handle.net/10138/228858

University of Toronto

15. Deshwar, Amit Gulab. Tumor Gene Expression Purification Using Infinite Mixture Topic Models.

Degree: 2013, University of Toronto

URL: http://hdl.handle.net/1807/35597

►

There is significant interest in using gene expression measurements to aid in the personalization of medical treatment. The presence of significant normal tissue contamination in… (more)

Subjects/Keywords: Bayesian methods; Gene expression purficiation; Bayesian Nonparametric; Topic models; 0984; 0800; 0544

Record Details Similar Records

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

APA (6^{th} Edition):

Deshwar, A. G. (2013). Tumor Gene Expression Purification Using Infinite Mixture Topic Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/35597

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

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Masters Thesis, University of Toronto. Accessed March 19, 2019. http://hdl.handle.net/1807/35597.

MLA Handbook (7^{th} Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Web. 19 Mar 2019.

Vancouver:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1807/35597.

Council of Science Editors:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/35597

Harvard University

16. Meyer, Mark John. Function-on-Function Regression with Public Health Applications.

Degree: PhD, Biostatistics, 2014, Harvard University

URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591

► Medical research currently involves the collection of large and complex data. One such type of data is functional data where the unit of measurement is…
(more)

Subjects/Keywords: Biostatistics; Bayesian Inference; Bayesian Methods; Functional Data Analysis; Function-on-Function Regression; Wavelet Regression

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

APA (6^{th} Edition):

Meyer, M. J. (2014). Function-on-Function Regression with Public Health Applications. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591

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

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Doctoral Dissertation, Harvard University. Accessed March 19, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

MLA Handbook (7^{th} Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Web. 19 Mar 2019.

Vancouver:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2019 Mar 19]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

Council of Science Editors:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591

University of Waterloo

17. Datta Gupta, Syamantak. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.

Degree: 2009, University of Waterloo

URL: http://hdl.handle.net/10012/4503

► Non-linear *Bayesian* estimation, or estimation of the state of a non-linear stochastic system from a set of indirect noisy measurements is a problem encountered in…
(more)

Subjects/Keywords: Bayesian estimation; non-linear filtering; particle filter; ensemble Kalman filter; Monte Carlo methods; Bayesian inference

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

APA (6^{th} Edition):

Datta Gupta, S. (2009). A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4503

Not specified: Masters Thesis or Doctoral Dissertation

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

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed March 19, 2019. http://hdl.handle.net/10012/4503.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 19 Mar 2019.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10012/4503.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4503

Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

18.
Huang, Yuanhua.
Structured *Bayesian* *methods* for splicing analysis in RNA-seq data.

Degree: PhD, 2018, University of Edinburgh

URL: http://hdl.handle.net/1842/31328

► In most eukaryotes, alternative splicing is an important regulatory mechanism of gene expression that results in a single gene coding for multiple protein isoforms, thus…
(more)

Subjects/Keywords: alternative splicing; Bayesian methods; DICEseq; isoform quantification; Bayesian Regression for Isoform Estimation; scRNA-seq

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

APA (6^{th} Edition):

Huang, Y. (2018). Structured Bayesian methods for splicing analysis in RNA-seq data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31328

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

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed March 19, 2019. http://hdl.handle.net/1842/31328.

MLA Handbook (7^{th} Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Web. 19 Mar 2019.

Vancouver:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1842/31328.

Council of Science Editors:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31328

INP Toulouse

19. Zhao, Ningning. Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution.

Degree: Docteur es, Signal, Image, Acoustique et Optimisation, 2016, INP Toulouse

URL: http://www.theses.fr/2016INPT0090

►

L'imagerie ultrasonore est une modalité d'acquisition privilégiée en imagerie médicale en raison de son innocuité, sa simplicité d'utilisation et son coût modéré d'utilisation. Néanmoins, la… (more)

Subjects/Keywords: Segmentation; Super-résolution; Bayesian; Optimisation; Ultrasound images; Deconvolution; Segmentation; Super-resolution; Bayesian methods; Optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Zhao, N. (2016). Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2016INPT0090

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

Zhao, Ningning. “Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution.” 2016. Doctoral Dissertation, INP Toulouse. Accessed March 19, 2019. http://www.theses.fr/2016INPT0090.

MLA Handbook (7^{th} Edition):

Zhao, Ningning. “Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution.” 2016. Web. 19 Mar 2019.

Vancouver:

Zhao N. Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution. [Internet] [Doctoral dissertation]. INP Toulouse; 2016. [cited 2019 Mar 19]. Available from: http://www.theses.fr/2016INPT0090.

Council of Science Editors:

Zhao N. Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution. [Doctoral Dissertation]. INP Toulouse; 2016. Available from: http://www.theses.fr/2016INPT0090

Brigham Young University

20. Pyper, Jordan Daniel. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.

Degree: MS, 2012, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd

► A child's parents are the primary source of knowledge and learned behaviors for developing children, and the benefits or repercussions of certain parental practices can…
(more)

Subjects/Keywords: latent variables; manifest variables; structural equation modeling; Bayesian methods; Frequentist methods; Statistics and Probability

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

APA (6^{th} Edition):

Pyper, J. D. (2012). Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd

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

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Masters Thesis, Brigham Young University. Accessed March 19, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd.

MLA Handbook (7^{th} Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Web. 19 Mar 2019.

Vancouver:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Mar 19]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd.

Council of Science Editors:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd

UCLA

21. Nicolò, Giovanni. Essay on Macroeconomics and Expectations.

Degree: Economics, 2018, UCLA

URL: http://www.escholarship.org/uc/item/8827f761

► My dissertation focuses on the interactions between the conduct of U.S. monetary policy and the expectations formed by households, firms and public institutions about the…
(more)

Subjects/Keywords: Economics; Bayesian Methods; Business Cycles; Expectations; Indeterminacy; Monetary Policy; Rational Expectations

Record Details Similar Records

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

APA (6^{th} Edition):

Nicolò, G. (2018). Essay on Macroeconomics and Expectations. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/8827f761

Not specified: Masters Thesis or Doctoral Dissertation

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

Nicolò, Giovanni. “Essay on Macroeconomics and Expectations.” 2018. Thesis, UCLA. Accessed March 19, 2019. http://www.escholarship.org/uc/item/8827f761.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nicolò, Giovanni. “Essay on Macroeconomics and Expectations.” 2018. Web. 19 Mar 2019.

Vancouver:

Nicolò G. Essay on Macroeconomics and Expectations. [Internet] [Thesis]. UCLA; 2018. [cited 2019 Mar 19]. Available from: http://www.escholarship.org/uc/item/8827f761.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nicolò G. Essay on Macroeconomics and Expectations. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/8827f761

Not specified: Masters Thesis or Doctoral Dissertation

22. Mazin, Suleimy Cristina. Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.

Degree: Mestrado, Saúde na Comunidade, 2009, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;

►

MAZIN, S. C.Metodos Bayesianos em Metanalise: Especicac~ao da Distribuic~ao a Priori para a Variabilidade entre os Estudos. 2009. 175f. Dissertac~ao (mestrado) - Faculdade de Medicina… (more)

Subjects/Keywords: Bayesian Methods.; Heterogeneidade; Heterogeneity; Meta-analysis; Metanalise; Metodos bayesianos.

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Mazin, S. C. (2009). Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;

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

Mazin, Suleimy Cristina. “Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.” 2009. Masters Thesis, University of São Paulo. Accessed March 19, 2019. http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;.

MLA Handbook (7^{th} Edition):

Mazin, Suleimy Cristina. “Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.” 2009. Web. 19 Mar 2019.

Vancouver:

Mazin SC. Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos. [Internet] [Masters thesis]. University of São Paulo; 2009. [cited 2019 Mar 19]. Available from: http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;.

Council of Science Editors:

Mazin SC. Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos. [Masters Thesis]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;

University of Alberta

23.
Tulsyan, Aditya.
State Inference and *Bayesian* Identification of Non-linear
State-space Models.

Degree: PhD, Department of Chemical and Materials Engineering, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/b8515n67q

► State inference and identification of discrete-time, non-linear, stochastic state-space models (SSMs) are considered here. A novel sequential Monte Carlo (SMC) based *Bayesian* method for simultaneous…
(more)

Subjects/Keywords: State inference; Identification; Bayesian methods; State-space models

Record Details Similar Records

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

APA (6^{th} Edition):

Tulsyan, A. (2013). State Inference and Bayesian Identification of Non-linear State-space Models. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/b8515n67q

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

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Doctoral Dissertation, University of Alberta. Accessed March 19, 2019. https://era.library.ualberta.ca/files/b8515n67q.

MLA Handbook (7^{th} Edition):

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Web. 19 Mar 2019.

Vancouver:

Tulsyan A. State Inference and Bayesian Identification of Non-linear State-space Models. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2019 Mar 19]. Available from: https://era.library.ualberta.ca/files/b8515n67q.

Council of Science Editors:

Tulsyan A. State Inference and Bayesian Identification of Non-linear State-space Models. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/b8515n67q

Texas A&M University

24. Katiyar, Ashish. Determination of Cancer Tissue Heterogeneity.

Degree: 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161403

► Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its…
(more)

Subjects/Keywords: Heterogeneity; Bayesian methods; Metropolis Hastings; Kernel Density Estimation

Record Details Similar Records

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

APA (6^{th} Edition):

Katiyar, A. (2017). Determination of Cancer Tissue Heterogeneity. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161403

Not specified: Masters Thesis or Doctoral Dissertation

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

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Thesis, Texas A&M University. Accessed March 19, 2019. http://hdl.handle.net/1969.1/161403.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 19 Mar 2019.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1969.1/161403.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161403

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

25.
Sharda, Bikram.
Robust manufacturing system design using petri nets and *bayesian* * methods*.

Degree: 2008, Texas A&M University

URL: http://hdl.handle.net/1969.1/85935

► Manufacturing system design decisions are costly and involve significant investment in terms of allocation of resources. These decisions are complex, due to uncertainties related to…
(more)

Subjects/Keywords: Petri nets; manufacturing systems; Bayesian methods; Robust design

Record Details Similar Records

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

APA (6^{th} Edition):

Sharda, B. (2008). Robust manufacturing system design using petri nets and bayesian methods. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/85935

Not specified: Masters Thesis or Doctoral Dissertation

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

Sharda, Bikram. “Robust manufacturing system design using petri nets and bayesian methods.” 2008. Thesis, Texas A&M University. Accessed March 19, 2019. http://hdl.handle.net/1969.1/85935.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sharda, Bikram. “Robust manufacturing system design using petri nets and bayesian methods.” 2008. Web. 19 Mar 2019.

Vancouver:

Sharda B. Robust manufacturing system design using petri nets and bayesian methods. [Internet] [Thesis]. Texas A&M University; 2008. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1969.1/85935.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sharda B. Robust manufacturing system design using petri nets and bayesian methods. [Thesis]. Texas A&M University; 2008. Available from: http://hdl.handle.net/1969.1/85935

Not specified: Masters Thesis or Doctoral Dissertation

Australian National University

26.
Abbasnejad, Ehsan.
Scalable Loss-calibrated *Bayesian* Decision Theory and Preference Learning
.

Degree: 2017, Australian National University

URL: http://hdl.handle.net/1885/118285

► *Bayesian* decision theory provides a framework for optimal action selection under uncertainty given a utility function over actions and world states and a distribution over…
(more)

Subjects/Keywords: machine learning; Bayesian methods; Decision theory; Gaussian processes

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Abbasnejad, E. (2017). Scalable Loss-calibrated Bayesian Decision Theory and Preference Learning . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/118285

Not specified: Masters Thesis or Doctoral Dissertation

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

Abbasnejad, Ehsan. “Scalable Loss-calibrated Bayesian Decision Theory and Preference Learning .” 2017. Thesis, Australian National University. Accessed March 19, 2019. http://hdl.handle.net/1885/118285.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Abbasnejad, Ehsan. “Scalable Loss-calibrated Bayesian Decision Theory and Preference Learning .” 2017. Web. 19 Mar 2019.

Vancouver:

Abbasnejad E. Scalable Loss-calibrated Bayesian Decision Theory and Preference Learning . [Internet] [Thesis]. Australian National University; 2017. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1885/118285.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Abbasnejad E. Scalable Loss-calibrated Bayesian Decision Theory and Preference Learning . [Thesis]. Australian National University; 2017. Available from: http://hdl.handle.net/1885/118285

Not specified: Masters Thesis or Doctoral Dissertation

University of Adelaide

27.
Walker, James Nicholas.
Inference *methods* for First Few Hundred Studies.

Degree: 2016, University of Adelaide

URL: http://hdl.handle.net/2440/99525

► Infectious diseases are a threat to the health of populations around the world. During the early stages of a novel infectious disease outbreak, intensive data…
(more)

Subjects/Keywords: Bayesian Inference methods; Markovian household epidemic model; path integral

Record Details Similar Records

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

APA (6^{th} Edition):

Walker, J. N. (2016). Inference methods for First Few Hundred Studies. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/99525

Not specified: Masters Thesis or Doctoral Dissertation

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

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Thesis, University of Adelaide. Accessed March 19, 2019. http://hdl.handle.net/2440/99525.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Web. 19 Mar 2019.

Vancouver:

Walker JN. Inference methods for First Few Hundred Studies. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2440/99525.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Walker JN. Inference methods for First Few Hundred Studies. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/99525

Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

28.
Lin, Ruitao.
* Bayesian* adaptive

Degree: PhD, 2016, University of Hong Kong

URL: http://hdl.handle.net/10722/235935

► The primary objective of phase I dose-finding trials is to determine the maximum tolerated dose (MTD), which is typically defined as the dose with the…
(more)

Subjects/Keywords: Clinical trials - Statistical methods; Bayesian statistical decision theory

Record Details Similar Records

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APA (6^{th} Edition):

Lin, R. (2016). Bayesian adaptive methods for phase I clinical trials. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/235935

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

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed March 19, 2019. http://hdl.handle.net/10722/235935.

MLA Handbook (7^{th} Edition):

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Web. 19 Mar 2019.

Vancouver:

Lin R. Bayesian adaptive methods for phase I clinical trials. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10722/235935.

Council of Science Editors:

Lin R. Bayesian adaptive methods for phase I clinical trials. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/235935

Baylor University

29.
Morgan-Cox, MaryAnn.
Count regression models with a misclassified binary covariate : a *Bayesian* approach.

Degree: Statistical Sciences., 2010, Baylor University

URL: http://hdl.handle.net/2104/7958

► Mismeasurment, and specifically misclassification, are inevitable in a variety of regression applications. Fallible measurement *methods* are often used when infallible *methods* are either expensive or…
(more)

Subjects/Keywords: Bayesian methods.; Poisson regression.; Exposure misclassification.; Rare event.; Logistic regression.

Record Details Similar Records

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

APA (6^{th} Edition):

Morgan-Cox, M. (2010). Count regression models with a misclassified binary covariate : a Bayesian approach. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/7958

Not specified: Masters Thesis or Doctoral Dissertation

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

Morgan-Cox, MaryAnn. “Count regression models with a misclassified binary covariate : a Bayesian approach. ” 2010. Thesis, Baylor University. Accessed March 19, 2019. http://hdl.handle.net/2104/7958.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Morgan-Cox, MaryAnn. “Count regression models with a misclassified binary covariate : a Bayesian approach. ” 2010. Web. 19 Mar 2019.

Vancouver:

Morgan-Cox M. Count regression models with a misclassified binary covariate : a Bayesian approach. [Internet] [Thesis]. Baylor University; 2010. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2104/7958.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Morgan-Cox M. Count regression models with a misclassified binary covariate : a Bayesian approach. [Thesis]. Baylor University; 2010. Available from: http://hdl.handle.net/2104/7958

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

30.
Pruszynski, Jessica E.
* Bayesian* models for discrete censored sampling and dose finding.

Degree: Statistical Sciences., 2010, Baylor University

URL: http://hdl.handle.net/2104/7959

► We first consider the problem of discrete censored sampling. Censored binomial data may lead to irregular likelihood functions and problems with statistical inference. We consider…
(more)

Subjects/Keywords: Bayesian methods.; Discrete censored sampling.; Phase I clinical trials.

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Pruszynski, J. E. (2010). Bayesian models for discrete censored sampling and dose finding. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/7959

Not specified: Masters Thesis or Doctoral Dissertation

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

Pruszynski, Jessica E. “Bayesian models for discrete censored sampling and dose finding. ” 2010. Thesis, Baylor University. Accessed March 19, 2019. http://hdl.handle.net/2104/7959.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pruszynski, Jessica E. “Bayesian models for discrete censored sampling and dose finding. ” 2010. Web. 19 Mar 2019.

Vancouver:

Pruszynski JE. Bayesian models for discrete censored sampling and dose finding. [Internet] [Thesis]. Baylor University; 2010. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2104/7959.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pruszynski JE. Bayesian models for discrete censored sampling and dose finding. [Thesis]. Baylor University; 2010. Available from: http://hdl.handle.net/2104/7959

Not specified: Masters Thesis or Doctoral Dissertation