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You searched for subject:(Bayesian methods). Showing records 1 – 30 of 283 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 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 (7th 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/

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 March 19, 2019. 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. 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.

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 March 19, 2019. 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. 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.

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


University of Southern California

4. 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 March 19, 2019. 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. 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

 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 (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 March 19, 2019. 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. 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/.

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 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 March 19, 2019. 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. 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

 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 March 19, 2019. 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. 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.

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

8. [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 March 19, 2019. 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. 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.

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

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

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 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 (7th 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

 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 March 19, 2019. 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. 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.

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 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 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true

Chicago Manual of Style (16th 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 (7th 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 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 (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 March 19, 2019. 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. 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

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

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 March 19, 2019. 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. 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

 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 March 19, 2019. http://hdl.handle.net/10138/228858.

MLA Handbook (7th 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

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 March 19, 2019. http://hdl.handle.net/1807/35597.

MLA Handbook (7th 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

 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 March 19, 2019. 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. 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

 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 (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 March 19, 2019. 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. 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.

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


University of Edinburgh

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

Degree: PhD, 2018, University of Edinburgh

 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 (6th 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 (16th 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 (7th 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

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 March 19, 2019. 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. 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

 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 March 19, 2019. 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. 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

 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 March 19, 2019. 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. 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.

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

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

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

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 March 19, 2019. 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. 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

 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 March 19, 2019. 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. 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

 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

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

APA (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 March 19, 2019. 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. 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.

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

28. 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 March 19, 2019. http://hdl.handle.net/10722/235935.

MLA Handbook (7th 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

 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 March 19, 2019. 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. 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.

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

30. 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 March 19, 2019. 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. 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.

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

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

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