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254 total matches.

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- 2014 – 2018 (87)
- 2009 – 2013 (112)
- 2004 – 2008 (51)
- 1999 – 2003 (13)

Department

- Statistics (13)
- Biostatistics (11)

Degrees

- PhD (64)
- Docteur es (22)
- MS (13)
- Mestrado (12)

Languages

- English (163)
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1.
Gu, Chenyang.
Statistical Missing Data *Methods* with Applications to Health
Services Research.

Degree: Biostatistics, 2016, Brown University

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

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

Subjects/Keywords: Bayesian methods

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

APA (6^{th} Edition):

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

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Thesis, Brown University. Accessed April 19, 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 (7^{th} Edition):

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Web. 19 Apr 2018.

Vancouver:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Internet] [Thesis]. Brown University; 2016. [cited 2018 Apr 19]. Available from: https://repository.library.brown.edu/studio/item/bdr:730655/.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

University of British Columbia

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

Degree: 2008, University of British Columbia

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

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

Subjects/Keywords: Statistics; Genomics; Bayesian methods

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Brumm, Jochen. “Finding functional groups of genes using pairwise relational data : methods and applications .” 2008. Thesis, University of British Columbia. Accessed April 19, 2018. http://hdl.handle.net/2429/688.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Brumm, Jochen. “Finding functional groups of genes using pairwise relational data : methods and applications .” 2008. Web. 19 Apr 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 Apr 19]. Available from: http://hdl.handle.net/2429/688.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

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

Degree: Statistical Sciences., 2010, Baylor University

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

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

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

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Atkinson, William H., 1980-. “Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. ” 2010. Thesis, Baylor University. Accessed April 19, 2018. http://hdl.handle.net/2104/8019.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Atkinson, William H., 1980-. “Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. ” 2010. Web. 19 Apr 2018.

Vancouver:

Atkinson, William H. 1. Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. [Internet] [Thesis]. Baylor University; 2010. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/2104/8019.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

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

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/847

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

Subjects/Keywords: association mapping; Bayesian methods

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APA (6^{th} Edition):

Zhao, K. (2009). Application of Bayesian methods in association mapping. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/847

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

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Masters Thesis, University of Southern California. Accessed April 19, 2018. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/847.

MLA Handbook (7^{th} Edition):

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Web. 19 Apr 2018.

Vancouver:

Zhao K. Application of Bayesian methods in association mapping. [Internet] [Masters thesis]. University of Southern California; 2009. [cited 2018 Apr 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/847.

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/847

Queensland University of Technology

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

Degree: 2011, Queensland University of Technology

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

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

Subjects/Keywords: Bayesian methods; complex statistical models

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Thesis, Queensland University of Technology. Accessed April 19, 2018. https://eprints.qut.edu.au/47132/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Web. 19 Apr 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 Apr 19]. Available from: https://eprints.qut.edu.au/47132/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

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

Degree: PhD, 2013, University of Edinburgh

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

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

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

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APA (6^{th} Edition):

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

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

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Doctoral Dissertation, University of Edinburgh. Accessed April 19, 2018. http://hdl.handle.net/1842/7627.

MLA Handbook (7^{th} Edition):

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Web. 19 Apr 2018.

Vancouver:

Caldararu S. Understanding and predicting global leaf phenology using satellite observations of vegetation. [Internet] [Doctoral dissertation]. University of Edinburgh; 2013. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/1842/7627.

Council of Science Editors:

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

Baylor University

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

Degree: 2015, Baylor University

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

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

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

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

author], [No. “Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. ” 2015. Thesis, Baylor University. Accessed April 19, 2018. http://hdl.handle.net/2104/9496.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. ” 2015. Web. 19 Apr 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 Apr 19]. Available from: http://hdl.handle.net/2104/9496.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

North Carolina State University

8.
DiCasoli, Carl Matthew.
* Bayesian* Regression

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

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

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

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

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APA (6^{th} Edition):

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

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

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Doctoral Dissertation, North Carolina State University. Accessed April 19, 2018. http://www.lib.ncsu.edu/resolver/1840.16/4743.

MLA Handbook (7^{th} Edition):

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Web. 19 Apr 2018.

Vancouver:

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

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

Degree: PhD, 2011, University of Cambridge

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed April 19, 2018. https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

MLA Handbook (7^{th} Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Web. 19 Apr 2018.

Vancouver:

Peeling PH. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2018 Apr 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

Council of Science Editors:

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

University of Cambridge

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

Degree: 2011, University of Cambridge

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Peeling, Paul. “Bayesian methods in music modelling .” 2011. Thesis, University of Cambridge. Accessed April 19, 2018. http://www.dspace.cam.ac.uk/handle/1810/237236.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Peeling, Paul. “Bayesian methods in music modelling .” 2011. Web. 19 Apr 2018.

Vancouver:

Peeling P. Bayesian methods in music modelling . [Internet] [Thesis]. University of Cambridge; 2011. [cited 2018 Apr 19]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

11. Gan, Quan. Topics in econometrics.

Degree: Economics, 2013, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/53308

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

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

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APA (6^{th} Edition):

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

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

Gan, Quan. “Topics in econometrics.” 2013. Doctoral Dissertation, University of New South Wales. Accessed April 19, 2018. http://handle.unsw.edu.au/1959.4/53308.

MLA Handbook (7^{th} Edition):

Gan, Quan. “Topics in econometrics.” 2013. Web. 19 Apr 2018.

Vancouver:

Gan Q. Topics in econometrics. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2018 Apr 19]. 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 Edinburgh

12.
Nagappa, Sharad.
Time-varying frequency analysis of bat echolocation signals using Monte Carlo * methods*.

Degree: 2010, University of Edinburgh

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

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

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

Record Details Similar Records

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APA (6^{th} Edition):

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

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

Nagappa, Sharad. “Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed April 19, 2018. http://hdl.handle.net/1842/4622.

MLA Handbook (7^{th} Edition):

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

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

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Masters Thesis, University of Helsinki. Accessed April 19, 2018. http://hdl.handle.net/10138/228858.

MLA Handbook (7^{th} Edition):

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Web. 19 Apr 2018.

Vancouver:

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

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

Degree: 2013, University of Toronto

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

►

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

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

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APA (6^{th} Edition):

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

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

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Masters Thesis, University of Toronto. Accessed April 19, 2018. http://hdl.handle.net/1807/35597.

MLA Handbook (7^{th} Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Web. 19 Apr 2018.

Vancouver:

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

University of Waterloo

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

Degree: 2009, University of Waterloo

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

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

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

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed April 19, 2018. http://hdl.handle.net/10012/4503.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 19 Apr 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 Apr 19]. Available from: http://hdl.handle.net/10012/4503.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

Harvard University

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

Degree: PhD, Biostatistics, 2014, Harvard University

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

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

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

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APA (6^{th} Edition):

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

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

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Doctoral Dissertation, Harvard University. Accessed April 19, 2018. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

MLA Handbook (7^{th} Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Web. 19 Apr 2018.

Vancouver:

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

INP Toulouse

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

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

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

►

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Zhao, Ningning. “Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution.” 2016. Doctoral Dissertation, INP Toulouse. Accessed April 19, 2018. http://www.theses.fr/2016INPT0090.

MLA Handbook (7^{th} Edition):

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

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

Degree: MS, 2012, Brigham Young University

URL: https://scholarsarchive.byu.edu/etd/3241

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

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

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

APA (6^{th} Edition):

Pyper, J. D. (2012). Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. (Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/etd/3241

Not specified: Masters Thesis or Doctoral Dissertation

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

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Thesis, Brigham Young University. Accessed April 19, 2018. https://scholarsarchive.byu.edu/etd/3241.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Web. 19 Apr 2018.

Vancouver:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Internet] [Thesis]. Brigham Young University; 2012. [cited 2018 Apr 19]. Available from: https://scholarsarchive.byu.edu/etd/3241.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/etd/3241

Not specified: Masters Thesis or Doctoral Dissertation

University of Tennessee – Knoxville

19.
Willmon, Samuel James.
A *Bayesian* Approach to Broad-Area Nuclear and Radiological Search Operations.

Degree: 2014, University of Tennessee – Knoxville

URL: http://trace.tennessee.edu/utk_graddiss/2781

► 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 (6^{th} 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 (16^{th} Edition):

Willmon, Samuel James. “A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations.” 2014. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed April 19, 2018. http://trace.tennessee.edu/utk_graddiss/2781.

MLA Handbook (7^{th} Edition):

Willmon, Samuel James. “A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations.” 2014. Web. 19 Apr 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 Apr 19]. 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

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

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

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

►

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Mazin, Suleimy Cristina. “Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.” 2009. Masters Thesis, University of São Paulo. Accessed April 19, 2018. http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;.

MLA Handbook (7^{th} Edition):

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

Baylor University

21.
Morgan-Cox, MaryAnn.
Count regression models with a misclassified binary covariate : a *Bayesian* approach.

Degree: Statistical Sciences., 2010, Baylor University

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Morgan-Cox, MaryAnn. “Count regression models with a misclassified binary covariate : a Bayesian approach. ” 2010. Thesis, Baylor University. Accessed April 19, 2018. http://hdl.handle.net/2104/7958.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Morgan-Cox, MaryAnn. “Count regression models with a misclassified binary covariate : a Bayesian approach. ” 2010. Web. 19 Apr 2018.

Vancouver:

Morgan-Cox M. Count regression models with a misclassified binary covariate : a Bayesian approach. [Internet] [Thesis]. Baylor University; 2010. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/2104/7958.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

22.
Pruszynski, Jessica E.
* Bayesian* models for discrete censored sampling and dose finding.

Degree: Statistical Sciences., 2010, Baylor University

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Pruszynski, Jessica E. “Bayesian models for discrete censored sampling and dose finding. ” 2010. Thesis, Baylor University. Accessed April 19, 2018. http://hdl.handle.net/2104/7959.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pruszynski, Jessica E. “Bayesian models for discrete censored sampling and dose finding. ” 2010. Web. 19 Apr 2018.

Vancouver:

Pruszynski JE. Bayesian models for discrete censored sampling and dose finding. [Internet] [Thesis]. Baylor University; 2010. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/2104/7959.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

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

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

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

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

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

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

APA (6^{th} Edition):

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

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

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Doctoral Dissertation, University of Alberta. Accessed April 19, 2018. https://era.library.ualberta.ca/files/b8515n67q.

MLA Handbook (7^{th} Edition):

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Web. 19 Apr 2018.

Vancouver:

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

University of Florida

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

Degree: Biostatistics, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044449

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Doctoral Dissertation, University of Florida. Accessed April 19, 2018. http://ufdc.ufl.edu/UFE0044449.

MLA Handbook (7^{th} Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Web. 19 Apr 2018.

Vancouver:

Wang Y. Inference for Correlation Matrices for Longitudinal and Ordered Data. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2018 Apr 19]. 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 North Carolina – Wilmington

25.
Bao, Haikun.
* Bayesian* hierarchical regression model to detect
quantitative trait loci.

Degree: 2009, University of North Carolina – Wilmington

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1630

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Bao, Haikun. “Bayesian hierarchical regression model to detect quantitative trait loci.” 2009. Masters Thesis, University of North Carolina – Wilmington. Accessed April 19, 2018. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1630.

MLA Handbook (7^{th} Edition):

Bao, Haikun. “Bayesian hierarchical regression model to detect quantitative trait loci.” 2009. Web. 19 Apr 2018.

Vancouver:

Bao H. Bayesian hierarchical regression model to detect quantitative trait loci. [Internet] [Masters thesis]. University of North Carolina – Wilmington; 2009. [cited 2018 Apr 19]. 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

University of Adelaide

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

Degree: 2016, University of Adelaide

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Thesis, University of Adelaide. Accessed April 19, 2018. http://hdl.handle.net/2440/99525.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Web. 19 Apr 2018.

Vancouver:

Walker JN. Inference methods for First Few Hundred Studies. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/2440/99525.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

Université Catholique de Louvain

27. Nicoletti, Giulio. Essays in formulating and estimating DSGE models.

Degree: 2010, Université Catholique de Louvain

URL: http://hdl.handle.net/2078.1/30710

► From the seminal work of Kydland and Prescott (1982) a huge amount of ef- fort and work has been devoted in order to improve our…
(more)

Subjects/Keywords: DSGE; Calibration; Estimation; Long memory credit; Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Nicoletti, G. (2010). Essays in formulating and estimating DSGE models. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/30710

Not specified: Masters Thesis or Doctoral Dissertation

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

Nicoletti, Giulio. “Essays in formulating and estimating DSGE models.” 2010. Thesis, Université Catholique de Louvain. Accessed April 19, 2018. http://hdl.handle.net/2078.1/30710.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nicoletti, Giulio. “Essays in formulating and estimating DSGE models.” 2010. Web. 19 Apr 2018.

Vancouver:

Nicoletti G. Essays in formulating and estimating DSGE models. [Internet] [Thesis]. Université Catholique de Louvain; 2010. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/2078.1/30710.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nicoletti G. Essays in formulating and estimating DSGE models. [Thesis]. Université Catholique de Louvain; 2010. Available from: http://hdl.handle.net/2078.1/30710

Not specified: Masters Thesis or Doctoral Dissertation

Duke University

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

Degree: 2009, Duke University

URL: http://hdl.handle.net/10161/1354

► 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

Record Details Similar Records

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Lunagomez, Simon. “A Geometric Approach for Inference on Graphical Models.” 2009. Thesis, Duke University. Accessed April 19, 2018. http://hdl.handle.net/10161/1354.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lunagomez, Simon. “A Geometric Approach for Inference on Graphical Models.” 2009. Web. 19 Apr 2018.

Vancouver:

Lunagomez S. A Geometric Approach for Inference on Graphical Models. [Internet] [Thesis]. Duke University; 2009. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/10161/1354.

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

Not specified: Masters Thesis or Doctoral Dissertation

Duke University

29.
Dunson, DB.
* Bayesian* Spatial Quantile Regression.

Degree: 2011, Duke University

URL: http://hdl.handle.net/10161/2981

► Tropospheric ozone is one of the six criteria pollutants regulated by the United States Environmental Protection Agency under the Clean Air Act and has been…
(more)

Subjects/Keywords: United States; Climate change; Ozone; Semiparametric Bayesian methods; Spatial data

Record Details Similar Records

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

APA (6^{th} Edition):

Dunson, D. (2011). Bayesian Spatial Quantile Regression. (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/2981

Not specified: Masters Thesis or Doctoral Dissertation

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

Dunson, DB. “Bayesian Spatial Quantile Regression.” 2011. Thesis, Duke University. Accessed April 19, 2018. http://hdl.handle.net/10161/2981.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dunson, DB. “Bayesian Spatial Quantile Regression.” 2011. Web. 19 Apr 2018.

Vancouver:

Dunson D. Bayesian Spatial Quantile Regression. [Internet] [Thesis]. Duke University; 2011. [cited 2018 Apr 19]. Available from: http://hdl.handle.net/10161/2981.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dunson D. Bayesian Spatial Quantile Regression. [Thesis]. Duke University; 2011. Available from: http://hdl.handle.net/10161/2981

Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

30.
Lin, Ruitao.
* Bayesian* adaptive

Degree: PhD, 2016, University of Hong Kong

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed April 19, 2018. http://hdl.handle.net/10722/235935.

MLA Handbook (7^{th} Edition):

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Web. 19 Apr 2018.

Vancouver:

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