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You searched for subject:(Bayesian methods). Showing records 1 – 30 of 261 total matches.

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

Degree: Biostatistics, 2016, Brown University

 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

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

APA (6th 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 (16th Edition):

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Thesis, Brown University. Accessed August 15, 2018. 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 (7th Edition):

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Web. 15 Aug 2018.

Vancouver:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Internet] [Thesis]. Brown University; 2016. [cited 2018 Aug 15]. 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/

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

 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 (6th 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

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):

Brumm, Jochen. “Finding functional groups of genes using pairwise relational data : methods and applications .” 2008. Thesis, University of British Columbia. Accessed August 15, 2018. http://hdl.handle.net/2429/688.

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

MLA Handbook (7th Edition):

Brumm, Jochen. “Finding functional groups of genes using pairwise relational data : methods and applications .” 2008. Web. 15 Aug 2018.

Vancouver:

Brumm J. Finding functional groups of genes using pairwise relational data : methods and applications . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/2429/688.

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

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

 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 (6th 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

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):

Atkinson, William H., 1980-. “Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. ” 2010. Thesis, Baylor University. Accessed August 15, 2018. http://hdl.handle.net/2104/8019.

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

MLA Handbook (7th Edition):

Atkinson, William H., 1980-. “Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. ” 2010. Web. 15 Aug 2018.

Vancouver:

Atkinson, William H. 1. Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. [Internet] [Thesis]. Baylor University; 2010. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/2104/8019.

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

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


Queensland University of Technology

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

Degree: 2011, Queensland University of Technology

 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 (6th 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/

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):

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Thesis, Queensland University of Technology. Accessed August 15, 2018. https://eprints.qut.edu.au/47132/.

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

MLA Handbook (7th Edition):

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Web. 15 Aug 2018.

Vancouver:

Donald M. Using Bayesian methods for the estimation of uncertainty in complex statistical models. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2018 Aug 15]. Available from: https://eprints.qut.edu.au/47132/.

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

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


University of Southern California

5. Zhao, Keyan. Application of Bayesian methods in association mapping.

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

 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 (6th 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 (16th Edition):

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Masters Thesis, University of Southern California. Accessed August 15, 2018. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/849.

MLA Handbook (7th Edition):

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Web. 15 Aug 2018.

Vancouver:

Zhao K. Application of Bayesian methods in association mapping. [Internet] [Masters thesis]. University of Southern California; 2009. [cited 2018 Aug 15]. 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


University of Edinburgh

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

Degree: PhD, 2013, University of Edinburgh

 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 (6th 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 (16th Edition):

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Doctoral Dissertation, University of Edinburgh. Accessed August 15, 2018. http://hdl.handle.net/1842/7627.

MLA Handbook (7th Edition):

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Web. 15 Aug 2018.

Vancouver:

Caldararu S. Understanding and predicting global leaf phenology using satellite observations of vegetation. [Internet] [Doctoral dissertation]. University of Edinburgh; 2013. [cited 2018 Aug 15]. 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


North Carolina State University

7. DiCasoli, Carl Matthew. Bayesian Regression Methods for Crossing Survival Curves.

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

 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

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

APA (6th 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 (16th Edition):

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Doctoral Dissertation, North Carolina State University. Accessed August 15, 2018. http://www.lib.ncsu.edu/resolver/1840.16/4743.

MLA Handbook (7th Edition):

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Web. 15 Aug 2018.

Vancouver:

DiCasoli CM. Bayesian Regression Methods for Crossing Survival Curves. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2018 Aug 15]. 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


Baylor University

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

Degree: 2015, Baylor University

 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.

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APA (6th 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

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):

author], [No. “Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. ” 2015. Thesis, Baylor University. Accessed August 15, 2018. http://hdl.handle.net/2104/9496.

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

MLA Handbook (7th Edition):

author], [No. “Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. ” 2015. Web. 15 Aug 2018.

Vancouver:

author] [. Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. [Internet] [Thesis]. Baylor University; 2015. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/2104/9496.

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

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


Baylor University

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

Degree: 2018, Baylor University

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 (6th Edition):

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

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):

author], [No. “Applications of Bayesian quantile regression and sample size determination. ” 2018. Thesis, Baylor University. Accessed August 15, 2018. http://hdl.handle.net/2104/10372.

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

MLA Handbook (7th Edition):

author], [No. “Applications of Bayesian quantile regression and sample size determination. ” 2018. Web. 15 Aug 2018.

Vancouver:

author] [. Applications of Bayesian quantile regression and sample size determination. [Internet] [Thesis]. Baylor University; 2018. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/2104/10372.

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

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


University of Cambridge

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

Degree: PhD, 2011, University of Cambridge

 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

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APA (6th 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 (16th Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed August 15, 2018. https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

MLA Handbook (7th Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Web. 15 Aug 2018.

Vancouver:

Peeling PH. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2018 Aug 15]. 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 New South Wales

11. Gan, Quan. Topics in econometrics.

Degree: Economics, 2013, University of New South Wales

 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 (6th Edition):

Gan, Q. (2013). Topics in econometrics. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53308

Chicago Manual of Style (16th Edition):

Gan, Quan. “Topics in econometrics.” 2013. Doctoral Dissertation, University of New South Wales. Accessed August 15, 2018. http://handle.unsw.edu.au/1959.4/53308.

MLA Handbook (7th Edition):

Gan, Quan. “Topics in econometrics.” 2013. Web. 15 Aug 2018.

Vancouver:

Gan Q. Topics in econometrics. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2018 Aug 15]. Available from: http://handle.unsw.edu.au/1959.4/53308.

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


University of Cambridge

12. Peeling, Paul. Bayesian methods in music modelling .

Degree: 2011, University of Cambridge

 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

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

APA (6th Edition):

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

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):

Peeling, Paul. “Bayesian methods in music modelling .” 2011. Thesis, University of Cambridge. Accessed August 15, 2018. http://www.dspace.cam.ac.uk/handle/1810/237236.

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

MLA Handbook (7th Edition):

Peeling, Paul. “Bayesian methods in music modelling .” 2011. Web. 15 Aug 2018.

Vancouver:

Peeling P. Bayesian methods in music modelling . [Internet] [Thesis]. University of Cambridge; 2011. [cited 2018 Aug 15]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236.

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

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


University of Edinburgh

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

Degree: 2010, University of Edinburgh

 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

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APA (6th 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 (16th Edition):

Nagappa, Sharad. “Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed August 15, 2018. http://hdl.handle.net/1842/4622.

MLA Handbook (7th Edition):

Nagappa, Sharad. “Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods.” 2010. Web. 15 Aug 2018.

Vancouver:

Nagappa S. Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2018 Aug 15]. 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

 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

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APA (6th 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 (16th Edition):

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Masters Thesis, University of Helsinki. Accessed August 15, 2018. http://hdl.handle.net/10138/228858.

MLA Handbook (7th Edition):

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Web. 15 Aug 2018.

Vancouver:

Jälkö J. Privacy-aware variational inference. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2018 Aug 15]. 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

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

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APA (6th 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 (16th Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Masters Thesis, University of Toronto. Accessed August 15, 2018. http://hdl.handle.net/1807/35597.

MLA Handbook (7th Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Web. 15 Aug 2018.

Vancouver:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2018 Aug 15]. 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

 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 (6th 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 (16th Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Doctoral Dissertation, Harvard University. Accessed August 15, 2018. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

MLA Handbook (7th Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Web. 15 Aug 2018.

Vancouver:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2018 Aug 15]. 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

 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 (6th 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

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):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed August 15, 2018. http://hdl.handle.net/10012/4503.

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

MLA Handbook (7th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 15 Aug 2018.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/10012/4503.

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

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


INP Toulouse

18. 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

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

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

APA (6th 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 (16th 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 August 15, 2018. http://www.theses.fr/2016INPT0090.

MLA Handbook (7th 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. 15 Aug 2018.

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 2018 Aug 15]. 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

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

Degree: MS, 2012, Brigham Young University

 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 (6th 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 (16th 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 August 15, 2018. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd.

MLA Handbook (7th Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Web. 15 Aug 2018.

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 2018 Aug 15]. 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


University of Tennessee – Knoxville

20. Willmon, Samuel James. A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations.

Degree: 2014, University of Tennessee – Knoxville

 This dissertation describes the development, implementation, and initial performance testing of the Broad-Area Search Bayesian Processor (BASBP). The BASBP is a novel FORTAN code designed… (more)

Subjects/Keywords: nuclear detection; broad-area search; Bayesian methods; Nuclear Engineering

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APA (6th Edition):

Willmon, S. J. (2014). A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from http://trace.tennessee.edu/utk_graddiss/2781

Chicago Manual of Style (16th Edition):

Willmon, Samuel James. “A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations.” 2014. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed August 15, 2018. http://trace.tennessee.edu/utk_graddiss/2781.

MLA Handbook (7th Edition):

Willmon, Samuel James. “A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations.” 2014. Web. 15 Aug 2018.

Vancouver:

Willmon SJ. A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2018 Aug 15]. Available from: http://trace.tennessee.edu/utk_graddiss/2781.

Council of Science Editors:

Willmon SJ. A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2014. Available from: http://trace.tennessee.edu/utk_graddiss/2781


Duke University

21. Lunagomez, Simon. A Geometric Approach for Inference on Graphical Models .

Degree: 2009, Duke University

 We formulate a novel approach to infer conditional independence models or Markov structure of a multivariate distribution. Specifically, our objective is to place informative prior… (more)

Subjects/Keywords: Statistics; Bayesian methods; Computational topology; Graphical models; Random geometric graphs

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APA (6th Edition):

Lunagomez, S. (2009). A Geometric Approach for Inference on Graphical Models . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/1354

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):

Lunagomez, Simon. “A Geometric Approach for Inference on Graphical Models .” 2009. Thesis, Duke University. Accessed August 15, 2018. http://hdl.handle.net/10161/1354.

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

MLA Handbook (7th Edition):

Lunagomez, Simon. “A Geometric Approach for Inference on Graphical Models .” 2009. Web. 15 Aug 2018.

Vancouver:

Lunagomez S. A Geometric Approach for Inference on Graphical Models . [Internet] [Thesis]. Duke University; 2009. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/10161/1354.

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

Council of Science Editors:

Lunagomez S. A Geometric Approach for Inference on Graphical Models . [Thesis]. Duke University; 2009. Available from: http://hdl.handle.net/10161/1354

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


UCLA

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

Degree: Economics, 2018, UCLA

 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

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APA (6th Edition):

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

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):

Nicolò, Giovanni. “Essay on Macroeconomics and Expectations.” 2018. Thesis, UCLA. Accessed August 15, 2018. http://www.escholarship.org/uc/item/8827f761.

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

MLA Handbook (7th Edition):

Nicolò, Giovanni. “Essay on Macroeconomics and Expectations.” 2018. Web. 15 Aug 2018.

Vancouver:

Nicolò G. Essay on Macroeconomics and Expectations. [Internet] [Thesis]. UCLA; 2018. [cited 2018 Aug 15]. Available from: http://www.escholarship.org/uc/item/8827f761.

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

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

23. 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

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.

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APA (6th 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 (16th 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 August 15, 2018. http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;.

MLA Handbook (7th Edition):

Mazin, Suleimy Cristina. “Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.” 2009. Web. 15 Aug 2018.

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 2018 Aug 15]. 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

24. 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

 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

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APA (6th 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 (16th Edition):

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Doctoral Dissertation, University of Alberta. Accessed August 15, 2018. https://era.library.ualberta.ca/files/b8515n67q.

MLA Handbook (7th Edition):

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Web. 15 Aug 2018.

Vancouver:

Tulsyan A. State Inference and Bayesian Identification of Non-linear State-space Models. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2018 Aug 15]. 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


University of Florida

25. Wang, Yanpin. Inference for Correlation Matrices for Longitudinal and Ordered Data.

Degree: Biostatistics, 2012, University of Florida

 Many parameters and postive-definiteness are two major obstacles in estimating and modelling a correlation matrix for longitudinal data. In addition, when longitudinal data is incomplet,… (more)

Subjects/Keywords: autocorrelation  – bandwidth  – bayesian  – covariance  – matrix  – methods  – nonparametric  – partial  – regression; Biostatistics

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

APA (6th Edition):

Wang, Y. (2012). Inference for Correlation Matrices for Longitudinal and Ordered Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044449

Chicago Manual of Style (16th Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Doctoral Dissertation, University of Florida. Accessed August 15, 2018. http://ufdc.ufl.edu/UFE0044449.

MLA Handbook (7th Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Web. 15 Aug 2018.

Vancouver:

Wang Y. Inference for Correlation Matrices for Longitudinal and Ordered Data. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2018 Aug 15]. Available from: http://ufdc.ufl.edu/UFE0044449.

Council of Science Editors:

Wang Y. Inference for Correlation Matrices for Longitudinal and Ordered Data. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044449


University of Adelaide

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

Degree: 2016, University of Adelaide

 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

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APA (6th Edition):

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

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):

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Thesis, University of Adelaide. Accessed August 15, 2018. http://hdl.handle.net/2440/99525.

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

MLA Handbook (7th Edition):

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Web. 15 Aug 2018.

Vancouver:

Walker JN. Inference methods for First Few Hundred Studies. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/2440/99525.

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

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


University of Hong Kong

27. Lin, Ruitao. Bayesian adaptive methods for phase I clinical trials.

Degree: PhD, 2016, University of Hong Kong

 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

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APA (6th 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 (16th Edition):

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed August 15, 2018. http://hdl.handle.net/10722/235935.

MLA Handbook (7th Edition):

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Web. 15 Aug 2018.

Vancouver:

Lin R. Bayesian adaptive methods for phase I clinical trials. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2018 Aug 15]. 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

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

Degree: Statistical Sciences., 2010, Baylor University

 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.

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APA (6th 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

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):

Morgan-Cox, MaryAnn. “Count regression models with a misclassified binary covariate : a Bayesian approach. ” 2010. Thesis, Baylor University. Accessed August 15, 2018. http://hdl.handle.net/2104/7958.

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

MLA Handbook (7th Edition):

Morgan-Cox, MaryAnn. “Count regression models with a misclassified binary covariate : a Bayesian approach. ” 2010. Web. 15 Aug 2018.

Vancouver:

Morgan-Cox M. Count regression models with a misclassified binary covariate : a Bayesian approach. [Internet] [Thesis]. Baylor University; 2010. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/2104/7958.

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

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


Baylor University

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

Degree: Statistical Sciences., 2010, Baylor University

 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.

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APA (6th 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

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):

Pruszynski, Jessica E. “Bayesian models for discrete censored sampling and dose finding. ” 2010. Thesis, Baylor University. Accessed August 15, 2018. http://hdl.handle.net/2104/7959.

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

MLA Handbook (7th Edition):

Pruszynski, Jessica E. “Bayesian models for discrete censored sampling and dose finding. ” 2010. Web. 15 Aug 2018.

Vancouver:

Pruszynski JE. Bayesian models for discrete censored sampling and dose finding. [Internet] [Thesis]. Baylor University; 2010. [cited 2018 Aug 15]. Available from: http://hdl.handle.net/2104/7959.

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

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


University of North Carolina – Wilmington

30. Bao, Haikun. Bayesian hierarchical regression model to detect quantitative trait loci.

Degree: 2009, University of North Carolina – Wilmington

 Detecting genetic loci responsible for variation in quantitative traits is a problem of great importance to biologists. The location on a genetic map responsible for… (more)

Subjects/Keywords: Bayesian statistical decision theory; Mathematical statistics; Genetics  – Statistical methods

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APA (6th Edition):

Bao, H. (2009). Bayesian hierarchical regression model to detect quantitative trait loci. (Masters Thesis). University of North Carolina – Wilmington. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1630

Chicago Manual of Style (16th Edition):

Bao, Haikun. “Bayesian hierarchical regression model to detect quantitative trait loci.” 2009. Masters Thesis, University of North Carolina – Wilmington. Accessed August 15, 2018. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1630.

MLA Handbook (7th Edition):

Bao, Haikun. “Bayesian hierarchical regression model to detect quantitative trait loci.” 2009. Web. 15 Aug 2018.

Vancouver:

Bao H. Bayesian hierarchical regression model to detect quantitative trait loci. [Internet] [Masters thesis]. University of North Carolina – Wilmington; 2009. [cited 2018 Aug 15]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1630.

Council of Science Editors:

Bao H. Bayesian hierarchical regression model to detect quantitative trait loci. [Masters Thesis]. University of North Carolina – Wilmington; 2009. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1630

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