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You searched for subject:(Bayesian methods). Showing records 1 – 30 of 240 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Internet] [Thesis]. Brown University; 2016. [cited 2017 Oct 23]. 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


Baylor University

2. 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Atkinson, William H. 1. Spatial Poisson regression : Bayesian approach correcting for measurement error with applications. [Internet] [Thesis]. Baylor University; 2010. [cited 2017 Oct 23]. 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

3. 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/847

Chicago Manual of Style (16th Edition):

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Masters Thesis, University of Southern California. Accessed October 23, 2017. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/484151/rec/847.

MLA Handbook (7th Edition):

Zhao, Keyan. “Application of Bayesian methods in association mapping.” 2009. Web. 23 Oct 2017.

Vancouver:

Zhao K. Application of Bayesian methods in association mapping. [Internet] [Masters thesis]. University of Southern California; 2009. [cited 2017 Oct 23]. 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


University of British Columbia

4. 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Brumm J. Finding functional groups of genes using pairwise relational data : methods and applications . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2017 Oct 23]. 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


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 (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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Donald M. Using Bayesian methods for the estimation of uncertainty in complex statistical models. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2017 Oct 23]. 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Caldararu S. Understanding and predicting global leaf phenology using satellite observations of vegetation. [Internet] [Doctoral dissertation]. University of Edinburgh; 2013. [cited 2017 Oct 23]. 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

author] [. Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence. [Internet] [Thesis]. Baylor University; 2015. [cited 2017 Oct 23]. 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


University of Cambridge

8. 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: 780; Music modelling; Signal processing; Bayesian methods

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APA (6th Edition):

Peeling, P. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.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. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed October 23, 2017. http://www.dspace.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

MLA Handbook (7th Edition):

Peeling, Paul. “Bayesian methods in music modelling.” 2011. Web. 23 Oct 2017.

Vancouver:

Peeling P. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2017 Oct 23]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

Council of Science Editors:

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


Mississippi State University

9. Bassou, Randa. Vortex detection in CFD datasets using a multi-model ensemble approach.

Degree: MS, Aerospace Engineering, 2016, Mississippi State University

  Over the past few decades, visualization and application researchers have been investigating vortices and have developed several algorithms for detecting vortex-like structures in the… (more)

Subjects/Keywords: Bayesian approach; ROC curve; vortex detection methods

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APA (6th Edition):

Bassou, R. (2016). Vortex detection in CFD datasets using a multi-model ensemble approach. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-171511/ ;

Chicago Manual of Style (16th Edition):

Bassou, Randa. “Vortex detection in CFD datasets using a multi-model ensemble approach.” 2016. Masters Thesis, Mississippi State University. Accessed October 23, 2017. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-171511/ ;.

MLA Handbook (7th Edition):

Bassou, Randa. “Vortex detection in CFD datasets using a multi-model ensemble approach.” 2016. Web. 23 Oct 2017.

Vancouver:

Bassou R. Vortex detection in CFD datasets using a multi-model ensemble approach. [Internet] [Masters thesis]. Mississippi State University; 2016. [cited 2017 Oct 23]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-171511/ ;.

Council of Science Editors:

Bassou R. Vortex detection in CFD datasets using a multi-model ensemble approach. [Masters Thesis]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-171511/ ;


North Carolina State University

10. 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

DiCasoli CM. Bayesian Regression Methods for Crossing Survival Curves. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2017 Oct 23]. 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 New South Wales

11. Gan, Quan. Topics in econometrics.

Degree: Economics, 2013, University of New South Wales

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Gan, Quan. “Topics in econometrics.” 2013. Doctoral Dissertation, University of New South Wales. Accessed October 23, 2017. http://handle.unsw.edu.au/1959.4/53308.

MLA Handbook (7th Edition):

Gan, Quan. “Topics in econometrics.” 2013. Web. 23 Oct 2017.

Vancouver:

Gan Q. Topics in econometrics. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2017 Oct 23]. Available from: http://handle.unsw.edu.au/1959.4/53308.

Council of Science Editors:

Gan Q. Topics in econometrics. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53308


University of Cambridge

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

Degree: 2011, University of Cambridge

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

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Peeling, Paul. “Bayesian methods in music modelling .” 2011. Thesis, University of Cambridge. Accessed October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Peeling P. Bayesian methods in music modelling . [Internet] [Thesis]. University of Cambridge; 2011. [cited 2017 Oct 23]. 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

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

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

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

Subjects/Keywords: Bayesian methods; critical elections; critical realignment theory

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Rhodes, Tara A. “An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches.” 2017. Doctoral Dissertation, U of Denver. Accessed October 23, 2017. http://digitalcommons.du.edu/etd/1259.

MLA Handbook (7th Edition):

Rhodes, Tara A. “An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches.” 2017. Web. 23 Oct 2017.

Vancouver:

Rhodes TA. An Evaluation of Critical Realignment Theory: Comparing Bayesian and Frequentist Approaches. [Internet] [Doctoral dissertation]. U of Denver; 2017. [cited 2017 Oct 23]. Available from: http://digitalcommons.du.edu/etd/1259.

Council of Science Editors:

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


University of Edinburgh

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

Degree: 2010, University of Edinburgh

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Nagappa, Sharad. “Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Nagappa S. Time-varying frequency analysis of bat echolocation signals using Monte Carlo methods. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2017 Oct 23]. 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 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 October 23, 2017. http://hdl.handle.net/1807/35597.

MLA Handbook (7th Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Web. 23 Oct 2017.

Vancouver:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2017 Oct 23]. 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2017 Oct 23]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

Council of Science Editors:

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


University of Waterloo

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

Degree: 2009, University of Waterloo

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2017 Oct 23]. Available from: http://hdl.handle.net/10012/4503.

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

Council of Science Editors:

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

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


INP Toulouse

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

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

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

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

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APA (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 October 23, 2017. 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. 23 Oct 2017.

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 2017 Oct 23]. Available from: http://www.theses.fr/2016INPT0090.

Council of Science Editors:

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


Brigham Young University

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

Degree: MS, 2012, Brigham Young University

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

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

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APA (6th Edition):

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

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):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Thesis, Brigham Young University. Accessed October 23, 2017. http://scholarsarchive.byu.edu/etd/3241.

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

MLA Handbook (7th Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Web. 23 Oct 2017.

Vancouver:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Internet] [Thesis]. Brigham Young University; 2012. [cited 2017 Oct 23]. Available from: http://scholarsarchive.byu.edu/etd/3241.

Note: this citation may be lacking information needed for this citation format:
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: http://scholarsarchive.byu.edu/etd/3241

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Mazin, Suleimy Cristina. “Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.” 2009. Masters Thesis, University of São Paulo. Accessed October 23, 2017. 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. 23 Oct 2017.

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 2017 Oct 23]. 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

 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Morgan-Cox M. Count regression models with a misclassified binary covariate : a Bayesian approach. [Internet] [Thesis]. Baylor University; 2010. [cited 2017 Oct 23]. 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

22. 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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Pruszynski JE. Bayesian models for discrete censored sampling and dose finding. [Internet] [Thesis]. Baylor University; 2010. [cited 2017 Oct 23]. Available from: http://hdl.handle.net/2104/7959.

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

Council of Science Editors:

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

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


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

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 October 23, 2017. 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. 23 Oct 2017.

Vancouver:

Tulsyan A. State Inference and Bayesian Identification of Non-linear State-space Models. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2017 Oct 23]. 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

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

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

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

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Doctoral Dissertation, University of Florida. Accessed October 23, 2017. http://ufdc.ufl.edu/UFE0044449.

MLA Handbook (7th Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Web. 23 Oct 2017.

Vancouver:

Wang Y. Inference for Correlation Matrices for Longitudinal and Ordered Data. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2017 Oct 23]. 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


Brigham Young University

25. Shepherd, Brent A. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.

Degree: MS, 2012, Brigham Young University

 Maximal oxygen consumption (VO2max) is considered by many to be the best overall measure of an individual's cardiovascular health. Collecting the measurement, however, requires subjecting… (more)

Subjects/Keywords: VO2max; MCMC; Bayesian Hierarchical Models; Bayes Methods; Statistics and Probability

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APA (6th Edition):

Shepherd, B. A. (2012). Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. (Thesis). Brigham Young University. Retrieved from http://scholarsarchive.byu.edu/etd/2997

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):

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Thesis, Brigham Young University. Accessed October 23, 2017. http://scholarsarchive.byu.edu/etd/2997.

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

MLA Handbook (7th Edition):

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Web. 23 Oct 2017.

Vancouver:

Shepherd BA. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. [Internet] [Thesis]. Brigham Young University; 2012. [cited 2017 Oct 23]. Available from: http://scholarsarchive.byu.edu/etd/2997.

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

Council of Science Editors:

Shepherd BA. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. [Thesis]. Brigham Young University; 2012. Available from: http://scholarsarchive.byu.edu/etd/2997

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


Brigham Young University

26. Christensen, Jonathan Casey. Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements.

Degree: MS, 2012, Brigham Young University

  We describe a method to estimate pollution profiles and contribution levels for distinct prominent pollution sources in a region based on daily pollutant concentration… (more)

Subjects/Keywords: Pollution Source Apportionment; Bayesian Methods; Multivariate Receptor Modeling; Statistics and Probability

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APA (6th Edition):

Christensen, J. C. (2012). Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements. (Thesis). Brigham Young University. Retrieved from http://scholarsarchive.byu.edu/etd/3005

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):

Christensen, Jonathan Casey. “Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements.” 2012. Thesis, Brigham Young University. Accessed October 23, 2017. http://scholarsarchive.byu.edu/etd/3005.

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

MLA Handbook (7th Edition):

Christensen, Jonathan Casey. “Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements.” 2012. Web. 23 Oct 2017.

Vancouver:

Christensen JC. Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements. [Internet] [Thesis]. Brigham Young University; 2012. [cited 2017 Oct 23]. Available from: http://scholarsarchive.byu.edu/etd/3005.

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

Council of Science Editors:

Christensen JC. Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements. [Thesis]. Brigham Young University; 2012. Available from: http://scholarsarchive.byu.edu/etd/3005

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

27. -7494-095X. A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo.

Degree: Computer Science, 2015, University of Houston

 Clustering is an important problem in Statistics and Machine Learning that is usually solved using Likelihood Maximization methods, of which the Expectation-Maximization algorithm (EM) is… (more)

Subjects/Keywords: Data Mining; Clustering; Expectation Maximization; Bayesian Methods; Markov Chain Monte Carlo

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APA (6th Edition):

-7494-095X. (2015). A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1935

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

Chicago Manual of Style (16th Edition):

-7494-095X. “A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo.” 2015. Thesis, University of Houston. Accessed October 23, 2017. http://hdl.handle.net/10657/1935.

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

MLA Handbook (7th Edition):

-7494-095X. “A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo.” 2015. Web. 23 Oct 2017.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7494-095X. A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo. [Internet] [Thesis]. University of Houston; 2015. [cited 2017 Oct 23]. Available from: http://hdl.handle.net/10657/1935.

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

Council of Science Editors:

-7494-095X. A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo. [Thesis]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1935

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


Duke University

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

Degree: 2009, Duke University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Lunagomez, Simon. “A Geometric Approach for Inference on Graphical Models.” 2009. Thesis, Duke University. Accessed October 23, 2017. http://hdl.handle.net/10161/1354.

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

MLA Handbook (7th Edition):

Lunagomez, Simon. “A Geometric Approach for Inference on Graphical Models.” 2009. Web. 23 Oct 2017.

Vancouver:

Lunagomez S. A Geometric Approach for Inference on Graphical Models. [Internet] [Thesis]. Duke University; 2009. [cited 2017 Oct 23]. Available from: http://hdl.handle.net/10161/1354.

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

Council of Science Editors:

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

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


Duke University

29. Dunson, DB. Bayesian Spatial Quantile Regression.

Degree: 2011, Duke University

 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

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APA (6th Edition):

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

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):

Dunson, DB. “Bayesian Spatial Quantile Regression.” 2011. Thesis, Duke University. Accessed October 23, 2017. http://hdl.handle.net/10161/2981.

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

MLA Handbook (7th Edition):

Dunson, DB. “Bayesian Spatial Quantile Regression.” 2011. Web. 23 Oct 2017.

Vancouver:

Dunson D. Bayesian Spatial Quantile Regression. [Internet] [Thesis]. Duke University; 2011. [cited 2017 Oct 23]. Available from: http://hdl.handle.net/10161/2981.

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

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


University of Tennessee – Knoxville

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

Degree: 2014, University of Tennessee – Knoxville

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Willmon, Samuel James. “A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations.” 2014. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 23, 2017. http://trace.tennessee.edu/utk_graddiss/2781.

MLA Handbook (7th Edition):

Willmon, Samuel James. “A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations.” 2014. Web. 23 Oct 2017.

Vancouver:

Willmon SJ. A Bayesian Approach to Broad-Area Nuclear and Radiological Search Operations. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2017 Oct 23]. 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

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