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You searched for subject:(Bayesian hierarchical models). Showing records 1 – 30 of 75 total matches.

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Colorado State University

1. Ketz, Alison C. Hierarchical Bayesian models for population ecology.

Degree: PhD, Ecology, 2017, Colorado State University

Models, by their definition, are abstractions of the systems they describe and require a delicate balance of inclusion of information with reduction. Hierarchical Bayesian models(more)

Subjects/Keywords: Elk; Models; Ungulates; Hierarchical; Bayesian; Population Ecology

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APA (6th Edition):

Ketz, A. C. (2017). Hierarchical Bayesian models for population ecology. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183885

Chicago Manual of Style (16th Edition):

Ketz, Alison C. “Hierarchical Bayesian models for population ecology.” 2017. Doctoral Dissertation, Colorado State University. Accessed April 20, 2019. http://hdl.handle.net/10217/183885.

MLA Handbook (7th Edition):

Ketz, Alison C. “Hierarchical Bayesian models for population ecology.” 2017. Web. 20 Apr 2019.

Vancouver:

Ketz AC. Hierarchical Bayesian models for population ecology. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/10217/183885.

Council of Science Editors:

Ketz AC. Hierarchical Bayesian models for population ecology. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183885


The Ohio State University

2. Kim, Yong Ku. Bayesian multiresolution dynamic models.

Degree: PhD, Statistics, 2007, The Ohio State University

 Dynamic process models such as state space models or diffusion process models are widely used for many natural dynamic phenomena. Statistical modelling has been essential… (more)

Subjects/Keywords: Statistics; Bayesian analysis; Hierarchical multiresolution models; Spatial dynamic models; Bayesian sensitivity

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APA (6th Edition):

Kim, Y. K. (2007). Bayesian multiresolution dynamic models. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1180465799

Chicago Manual of Style (16th Edition):

Kim, Yong Ku. “Bayesian multiresolution dynamic models.” 2007. Doctoral Dissertation, The Ohio State University. Accessed April 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1180465799.

MLA Handbook (7th Edition):

Kim, Yong Ku. “Bayesian multiresolution dynamic models.” 2007. Web. 20 Apr 2019.

Vancouver:

Kim YK. Bayesian multiresolution dynamic models. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2019 Apr 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1180465799.

Council of Science Editors:

Kim YK. Bayesian multiresolution dynamic models. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1180465799


Texas A&M University

3. McGuffey, Elizabeth Jennings. Statistical Methods for Integrating Genomics Data.

Degree: 2015, Texas A&M University

 This dissertation focuses on methodology to integrate multiplatform genomic data with cancer applications. Such integration facilitates the discovery of biological information crucial to the development… (more)

Subjects/Keywords: Bayesian modeling; Genomics; Heatmaps; Hierarchical models; Integrative analysis; Shrinkage priors; TCGA

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APA (6th Edition):

McGuffey, E. J. (2015). Statistical Methods for Integrating Genomics Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155093

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):

McGuffey, Elizabeth Jennings. “Statistical Methods for Integrating Genomics Data.” 2015. Thesis, Texas A&M University. Accessed April 20, 2019. http://hdl.handle.net/1969.1/155093.

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

MLA Handbook (7th Edition):

McGuffey, Elizabeth Jennings. “Statistical Methods for Integrating Genomics Data.” 2015. Web. 20 Apr 2019.

Vancouver:

McGuffey EJ. Statistical Methods for Integrating Genomics Data. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/1969.1/155093.

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

Council of Science Editors:

McGuffey EJ. Statistical Methods for Integrating Genomics Data. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155093

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


The Ohio State University

4. Zheng, Ning. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

  Massive databases with free-style text fields are a common feature of virtually all types of organizations from hospitals to aviation companies to governmental agencies.… (more)

Subjects/Keywords: topic models; Bayesian inference; Dirichlet processes; experimental design; hierarchical Dirichlet processes

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APA (6th Edition):

Zheng, N. (2008). Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529

Chicago Manual of Style (16th Edition):

Zheng, Ning. “Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.” 2008. Doctoral Dissertation, The Ohio State University. Accessed April 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529.

MLA Handbook (7th Edition):

Zheng, Ning. “Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.” 2008. Web. 20 Apr 2019.

Vancouver:

Zheng N. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2019 Apr 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529.

Council of Science Editors:

Zheng N. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529

5. Sigourney, Douglas Bradlee. Growth of Atlantic Salmon (Salmo salar) in Freshwater.

Degree: PhD, Wildlife & Fisheries Conservation, 2010, U of Massachusetts : PhD

 Growth plays a key role in regulating ecological and population dynamics. Life history characteristics such as age at maturity, fecundity and age and size at… (more)

Subjects/Keywords: Atlantic salmon; Bayesian Statistics; Growth; Hierarchical models; Aquaculture and Fisheries

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APA (6th Edition):

Sigourney, D. B. (2010). Growth of Atlantic Salmon (Salmo salar) in Freshwater. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/303

Chicago Manual of Style (16th Edition):

Sigourney, Douglas Bradlee. “Growth of Atlantic Salmon (Salmo salar) in Freshwater.” 2010. Doctoral Dissertation, U of Massachusetts : PhD. Accessed April 20, 2019. https://scholarworks.umass.edu/open_access_dissertations/303.

MLA Handbook (7th Edition):

Sigourney, Douglas Bradlee. “Growth of Atlantic Salmon (Salmo salar) in Freshwater.” 2010. Web. 20 Apr 2019.

Vancouver:

Sigourney DB. Growth of Atlantic Salmon (Salmo salar) in Freshwater. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2010. [cited 2019 Apr 20]. Available from: https://scholarworks.umass.edu/open_access_dissertations/303.

Council of Science Editors:

Sigourney DB. Growth of Atlantic Salmon (Salmo salar) in Freshwater. [Doctoral Dissertation]. U of Massachusetts : PhD; 2010. Available from: https://scholarworks.umass.edu/open_access_dissertations/303


University of Texas – Austin

6. Schaefer, Kayla Hope. Document clustering with nonparametric hierarchical topic modeling.

Degree: Statistics, 2015, University of Texas – Austin

 Since its introduction, topic modeling has been a fundamental tool in analyzing corpus structures. While the Relational Topic Model provides a way to link, and… (more)

Subjects/Keywords: Clustering; Nonparametric Bayesian statistics; Hierarchical models; Gibbs sampling; Shakespeare

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APA (6th Edition):

Schaefer, K. H. (2015). Document clustering with nonparametric hierarchical topic modeling. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32498

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):

Schaefer, Kayla Hope. “Document clustering with nonparametric hierarchical topic modeling.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/32498.

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

MLA Handbook (7th Edition):

Schaefer, Kayla Hope. “Document clustering with nonparametric hierarchical topic modeling.” 2015. Web. 20 Apr 2019.

Vancouver:

Schaefer KH. Document clustering with nonparametric hierarchical topic modeling. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/32498.

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

Council of Science Editors:

Schaefer KH. Document clustering with nonparametric hierarchical topic modeling. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32498

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


University of Minnesota

7. Basu, Cynthia. Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials.

Degree: PhD, Biostatistics, 2017, University of Minnesota

 A rare disease is defined by the Rare Diseases Act of 2002 as a disease that currently affects fewer than 200,000 patients in the USA.… (more)

Subjects/Keywords: Bayesian Hierarchical Models; Clinical Trials; Data Extrapolation; PK/PD

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APA (6th Edition):

Basu, C. (2017). Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/191398

Chicago Manual of Style (16th Edition):

Basu, Cynthia. “Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials.” 2017. Doctoral Dissertation, University of Minnesota. Accessed April 20, 2019. http://hdl.handle.net/11299/191398.

MLA Handbook (7th Edition):

Basu, Cynthia. “Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials.” 2017. Web. 20 Apr 2019.

Vancouver:

Basu C. Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/11299/191398.

Council of Science Editors:

Basu C. Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/191398


Boston University

8. McIntosh, Avery Isaac. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.

Degree: PhD, Biostatistics, 2017, Boston University

 Understanding tuberculosis transmission is vital for efforts at interrupting the spread of disease. Household contact studies that follow persons sharing a household with a TB… (more)

Subjects/Keywords: Biostatistics; Bayesian mixed effects; Generalized linear model; Hierarchical models; Infection; Tuberculosis

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APA (6th Edition):

McIntosh, A. I. (2017). Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/22451

Chicago Manual of Style (16th Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Doctoral Dissertation, Boston University. Accessed April 20, 2019. http://hdl.handle.net/2144/22451.

MLA Handbook (7th Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Web. 20 Apr 2019.

Vancouver:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2144/22451.

Council of Science Editors:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/22451


Brigham Young University

9. Huddleston, Scott D. Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models.

Degree: MS, 2012, Brigham Young University

 In recent years, fantasy baseball has seen an explosion in popularity. Major League Baseball, with its long, storied history and the enormous quantity of data… (more)

Subjects/Keywords: fantasy baseball; hierarchical Bayesian models; MCMC; Statistics and Probability

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APA (6th Edition):

Huddleston, S. D. (2012). Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4172&context=etd

Chicago Manual of Style (16th Edition):

Huddleston, Scott D. “Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models.” 2012. Masters Thesis, Brigham Young University. Accessed April 20, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4172&context=etd.

MLA Handbook (7th Edition):

Huddleston, Scott D. “Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models.” 2012. Web. 20 Apr 2019.

Vancouver:

Huddleston SD. Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Apr 20]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4172&context=etd.

Council of Science Editors:

Huddleston SD. Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4172&context=etd


Brigham Young University

10. 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. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd

Chicago Manual of Style (16th Edition):

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Masters Thesis, Brigham Young University. Accessed April 20, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd.

MLA Handbook (7th Edition):

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Web. 20 Apr 2019.

Vancouver:

Shepherd BA. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Apr 20]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd.

Council of Science Editors:

Shepherd BA. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd


University of Kentucky

11. Roualdes, Edward A. New Results in ell_1 Penalized Regression.

Degree: 2015, University of Kentucky

 Here we consider penalized regression methods, and extend on the results surrounding the l1 norm penalty. We address a more recent development that generalizes previous… (more)

Subjects/Keywords: linear model; penalized regression; Bayesian analysis; Hierarchical Models; Applied Statistics; Statistical Models

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APA (6th Edition):

Roualdes, E. A. (2015). New Results in ell_1 Penalized Regression. (Doctoral Dissertation). University of Kentucky. Retrieved from http://uknowledge.uky.edu/statistics_etds/13

Chicago Manual of Style (16th Edition):

Roualdes, Edward A. “New Results in ell_1 Penalized Regression.” 2015. Doctoral Dissertation, University of Kentucky. Accessed April 20, 2019. http://uknowledge.uky.edu/statistics_etds/13.

MLA Handbook (7th Edition):

Roualdes, Edward A. “New Results in ell_1 Penalized Regression.” 2015. Web. 20 Apr 2019.

Vancouver:

Roualdes EA. New Results in ell_1 Penalized Regression. [Internet] [Doctoral dissertation]. University of Kentucky; 2015. [cited 2019 Apr 20]. Available from: http://uknowledge.uky.edu/statistics_etds/13.

Council of Science Editors:

Roualdes EA. New Results in ell_1 Penalized Regression. [Doctoral Dissertation]. University of Kentucky; 2015. Available from: http://uknowledge.uky.edu/statistics_etds/13


UCLA

12. Fischer, Heidi Jean. Statistical Methods for Ultrafine Particle Distributions.

Degree: Biostatistics, 2015, UCLA

 We develop statistical methods to model ultrafine particle (UFP) counts as a function of size and time using Bayesian functional time-series methods. Because of their… (more)

Subjects/Keywords: Biostatistics; Environmental health; Bayesian Statistics; Hierarchical Models; Time Series; Varying Coefficient Models

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APA (6th Edition):

Fischer, H. J. (2015). Statistical Methods for Ultrafine Particle Distributions. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/94k0h0q3

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):

Fischer, Heidi Jean. “Statistical Methods for Ultrafine Particle Distributions.” 2015. Thesis, UCLA. Accessed April 20, 2019. http://www.escholarship.org/uc/item/94k0h0q3.

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

MLA Handbook (7th Edition):

Fischer, Heidi Jean. “Statistical Methods for Ultrafine Particle Distributions.” 2015. Web. 20 Apr 2019.

Vancouver:

Fischer HJ. Statistical Methods for Ultrafine Particle Distributions. [Internet] [Thesis]. UCLA; 2015. [cited 2019 Apr 20]. Available from: http://www.escholarship.org/uc/item/94k0h0q3.

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

Council of Science Editors:

Fischer HJ. Statistical Methods for Ultrafine Particle Distributions. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/94k0h0q3

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


University of Sydney

13. Steinberg, Daniel. An Unsupervised Approach to Modelling Visual Data .

Degree: 2013, University of Sydney

 For very large visual datasets, producing expert ground-truth data for training supervised algorithms can represent a substantial human effort. In these situations there is scope… (more)

Subjects/Keywords: Scene understanding; unsupervised learning; clustering; hierarchical Bayesian models; topic models; variational Bayes

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APA (6th Edition):

Steinberg, D. (2013). An Unsupervised Approach to Modelling Visual Data . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9415

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):

Steinberg, Daniel. “An Unsupervised Approach to Modelling Visual Data .” 2013. Thesis, University of Sydney. Accessed April 20, 2019. http://hdl.handle.net/2123/9415.

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

MLA Handbook (7th Edition):

Steinberg, Daniel. “An Unsupervised Approach to Modelling Visual Data .” 2013. Web. 20 Apr 2019.

Vancouver:

Steinberg D. An Unsupervised Approach to Modelling Visual Data . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2123/9415.

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

Council of Science Editors:

Steinberg D. An Unsupervised Approach to Modelling Visual Data . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9415

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


Harvard University

14. Mitchell, Shira Arkin. Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation.

Degree: PhD, Biostatistics, 2014, Harvard University

 A relatively recent increase in the popularity of evidence-based activism has created a higher demand for statisticians to work on human rights and economic development… (more)

Subjects/Keywords: Statistics; Biostatistics; Bayesian statistics; Capture-recapture; Causal inference; Hierarchical models; Multilevel models; Surveys

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APA (6th Edition):

Mitchell, S. A. (2014). Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274610

Chicago Manual of Style (16th Edition):

Mitchell, Shira Arkin. “Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation.” 2014. Doctoral Dissertation, Harvard University. Accessed April 20, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274610.

MLA Handbook (7th Edition):

Mitchell, Shira Arkin. “Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation.” 2014. Web. 20 Apr 2019.

Vancouver:

Mitchell SA. Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2019 Apr 20]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274610.

Council of Science Editors:

Mitchell SA. Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274610


University of Melbourne

15. Morris, William Keith. Bayesian modelling of tree mortality.

Degree: 2012, University of Melbourne

 In this work I aimed to relate two topics of importance in applied ecology and the statistical analysis of ecological data: the challenge of analysing… (more)

Subjects/Keywords: Bayesian models; hierarchical models; informative prior probabilities; reasoning with data; plant population demographics

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APA (6th Edition):

Morris, W. K. (2012). Bayesian modelling of tree mortality. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37184

Chicago Manual of Style (16th Edition):

Morris, William Keith. “Bayesian modelling of tree mortality.” 2012. Masters Thesis, University of Melbourne. Accessed April 20, 2019. http://hdl.handle.net/11343/37184.

MLA Handbook (7th Edition):

Morris, William Keith. “Bayesian modelling of tree mortality.” 2012. Web. 20 Apr 2019.

Vancouver:

Morris WK. Bayesian modelling of tree mortality. [Internet] [Masters thesis]. University of Melbourne; 2012. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/11343/37184.

Council of Science Editors:

Morris WK. Bayesian modelling of tree mortality. [Masters Thesis]. University of Melbourne; 2012. Available from: http://hdl.handle.net/11343/37184


Queensland University of Technology

16. Tran, Thu Trung. Bayesian model estimation and comparison for longitudinal categorical data.

Degree: 2008, Queensland University of Technology

 In this thesis, we address issues of model estimation for longitudinal categorical data and of model selection for these data with missing covariates. Longitudinal survey… (more)

Subjects/Keywords: longitudinal data analysis; generalized linear models; Bayesian hierarchical models; Bayesian model choice; Bayes factors; deviance information criterion; missing data

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APA (6th Edition):

Tran, T. T. (2008). Bayesian model estimation and comparison for longitudinal categorical data. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/19240/

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):

Tran, Thu Trung. “Bayesian model estimation and comparison for longitudinal categorical data.” 2008. Thesis, Queensland University of Technology. Accessed April 20, 2019. https://eprints.qut.edu.au/19240/.

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

MLA Handbook (7th Edition):

Tran, Thu Trung. “Bayesian model estimation and comparison for longitudinal categorical data.” 2008. Web. 20 Apr 2019.

Vancouver:

Tran TT. Bayesian model estimation and comparison for longitudinal categorical data. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Apr 20]. Available from: https://eprints.qut.edu.au/19240/.

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

Council of Science Editors:

Tran TT. Bayesian model estimation and comparison for longitudinal categorical data. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/19240/

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


University of Alberta

17. Hassan, Imran. Hierarchical Quantile Regression.

Degree: MS, Department of Mathematical and Statistical Sciences, 2014, University of Alberta

 Quantile regression supplements the ordinary least squares regression and provides a complete view of a relationship between a response variable and a set of covariates.… (more)

Subjects/Keywords: quantile regression; Markov Chain Monte Carlo; asymmetric Laplace distribution; data cloning; Bayesian statistics; hierarchical models

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

APA (6th Edition):

Hassan, I. (2014). Hierarchical Quantile Regression. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/m326m3245

Chicago Manual of Style (16th Edition):

Hassan, Imran. “Hierarchical Quantile Regression.” 2014. Masters Thesis, University of Alberta. Accessed April 20, 2019. https://era.library.ualberta.ca/files/m326m3245.

MLA Handbook (7th Edition):

Hassan, Imran. “Hierarchical Quantile Regression.” 2014. Web. 20 Apr 2019.

Vancouver:

Hassan I. Hierarchical Quantile Regression. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2019 Apr 20]. Available from: https://era.library.ualberta.ca/files/m326m3245.

Council of Science Editors:

Hassan I. Hierarchical Quantile Regression. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/m326m3245


Penn State University

18. Aguero Valverde, Jonathan. Network Analysis of Road Crash Frequency using Spatial Models.

Degree: PhD, Civil Engineering, 2008, Penn State University

 Despite the evident spatial character of road crashes, limited research has been conducted in road safety analysis to account for spatial correlation; further, the practical… (more)

Subjects/Keywords: bayesian hierarchical models; spatial correlation; highway safety; Poisson log-Normal conditional autoregressive

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APA (6th Edition):

Aguero Valverde, J. (2008). Network Analysis of Road Crash Frequency using Spatial Models. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8732

Chicago Manual of Style (16th Edition):

Aguero Valverde, Jonathan. “Network Analysis of Road Crash Frequency using Spatial Models.” 2008. Doctoral Dissertation, Penn State University. Accessed April 20, 2019. https://etda.libraries.psu.edu/catalog/8732.

MLA Handbook (7th Edition):

Aguero Valverde, Jonathan. “Network Analysis of Road Crash Frequency using Spatial Models.” 2008. Web. 20 Apr 2019.

Vancouver:

Aguero Valverde J. Network Analysis of Road Crash Frequency using Spatial Models. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2019 Apr 20]. Available from: https://etda.libraries.psu.edu/catalog/8732.

Council of Science Editors:

Aguero Valverde J. Network Analysis of Road Crash Frequency using Spatial Models. [Doctoral Dissertation]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8732


University of Kentucky

19. Ellis, Amanda R. ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS.

Degree: 2018, University of Kentucky

 I consider statistical modelling of data gathered by photographic identification in mark-recapture studies and propose a new method that incorporates the inherent uncertainty of photographic… (more)

Subjects/Keywords: Mark-Recapture; Photographic Identification; Bayesian Analysis; Hierarchical Model; Applied Statistics; Statistical Models

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

APA (6th Edition):

Ellis, A. R. (2018). ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/31

Chicago Manual of Style (16th Edition):

Ellis, Amanda R. “ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS.” 2018. Doctoral Dissertation, University of Kentucky. Accessed April 20, 2019. https://uknowledge.uky.edu/statistics_etds/31.

MLA Handbook (7th Edition):

Ellis, Amanda R. “ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS.” 2018. Web. 20 Apr 2019.

Vancouver:

Ellis AR. ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS. [Internet] [Doctoral dissertation]. University of Kentucky; 2018. [cited 2019 Apr 20]. Available from: https://uknowledge.uky.edu/statistics_etds/31.

Council of Science Editors:

Ellis AR. ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS. [Doctoral Dissertation]. University of Kentucky; 2018. Available from: https://uknowledge.uky.edu/statistics_etds/31


University of Cincinnati

20. Jaberansari, Negar. Bayesian Hierarchical Models for Partially Observed Data.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2016, University of Cincinnati

 This thesis considers two types of clustered partially observed data and addresses the challenges via Bayesian hierarchical models.Multivariate current status data is a common type… (more)

Subjects/Keywords: Statistics; Clustered Partially Observed Data; Survival Analysis; Causal Effect; Bayesian Hierarchical Models

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

APA (6th Edition):

Jaberansari, N. (2016). Bayesian Hierarchical Models for Partially Observed Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153

Chicago Manual of Style (16th Edition):

Jaberansari, Negar. “Bayesian Hierarchical Models for Partially Observed Data.” 2016. Doctoral Dissertation, University of Cincinnati. Accessed April 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153.

MLA Handbook (7th Edition):

Jaberansari, Negar. “Bayesian Hierarchical Models for Partially Observed Data.” 2016. Web. 20 Apr 2019.

Vancouver:

Jaberansari N. Bayesian Hierarchical Models for Partially Observed Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2016. [cited 2019 Apr 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153.

Council of Science Editors:

Jaberansari N. Bayesian Hierarchical Models for Partially Observed Data. [Doctoral Dissertation]. University of Cincinnati; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153


Iowa State University

21. Mittman, Eric Thomas. Applications of Bayesian hierarchical models in gene expression and product reliability.

Degree: 2017, Iowa State University

 Advances in modern computing have encouraged statisticians to fit larger and larger models to larger and more complex data sets. Bayesian hierarchical models are a… (more)

Subjects/Keywords: Bayesian nonparametrics; Gene expression; Hierarchical models; MCMC; Reliability; Statistics; Statistics and Probability

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

APA (6th Edition):

Mittman, E. T. (2017). Applications of Bayesian hierarchical models in gene expression and product reliability. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16416

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):

Mittman, Eric Thomas. “Applications of Bayesian hierarchical models in gene expression and product reliability.” 2017. Thesis, Iowa State University. Accessed April 20, 2019. https://lib.dr.iastate.edu/etd/16416.

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

MLA Handbook (7th Edition):

Mittman, Eric Thomas. “Applications of Bayesian hierarchical models in gene expression and product reliability.” 2017. Web. 20 Apr 2019.

Vancouver:

Mittman ET. Applications of Bayesian hierarchical models in gene expression and product reliability. [Internet] [Thesis]. Iowa State University; 2017. [cited 2019 Apr 20]. Available from: https://lib.dr.iastate.edu/etd/16416.

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

Council of Science Editors:

Mittman ET. Applications of Bayesian hierarchical models in gene expression and product reliability. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16416

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


University of New South Wales

22. Jeremiah, Erwin. A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling.

Degree: Civil & Environmental Engineering, 2012, University of New South Wales

 Understanding the uncertainties associated with streamflow prediction in hydrological modelling has gained much interest over the past years, mainly because these uncertainties remain ambiguous and… (more)

Subjects/Keywords: Catchment predictors; Hydrological models; Bayesian inference; Hierarchical Mixture of Experts; Modelling uncertainty

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APA (6th Edition):

Jeremiah, E. (2012). A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Jeremiah, Erwin. “A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling.” 2012. Doctoral Dissertation, University of New South Wales. Accessed April 20, 2019. http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true.

MLA Handbook (7th Edition):

Jeremiah, Erwin. “A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling.” 2012. Web. 20 Apr 2019.

Vancouver:

Jeremiah E. A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2019 Apr 20]. Available from: http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true.

Council of Science Editors:

Jeremiah E. A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true


University of Minnesota

23. Lian, Qinshu. Statistical methods for multivariate meta-analysis.

Degree: PhD, Biostatistics, 2018, University of Minnesota

 As health problems get more complicated, the medical decisions and policies are rarely determined by evidence on a single effect. In recent years, there is… (more)

Subjects/Keywords: Bayesian hierarchical models; Clinical trials; Diagnostic tests; Misclassification; Missing data; Network meta-analysis

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

APA (6th Edition):

Lian, Q. (2018). Statistical methods for multivariate meta-analysis. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/200307

Chicago Manual of Style (16th Edition):

Lian, Qinshu. “Statistical methods for multivariate meta-analysis.” 2018. Doctoral Dissertation, University of Minnesota. Accessed April 20, 2019. http://hdl.handle.net/11299/200307.

MLA Handbook (7th Edition):

Lian, Qinshu. “Statistical methods for multivariate meta-analysis.” 2018. Web. 20 Apr 2019.

Vancouver:

Lian Q. Statistical methods for multivariate meta-analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/11299/200307.

Council of Science Editors:

Lian Q. Statistical methods for multivariate meta-analysis. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/200307


University of Connecticut

24. Meiman, Susan T. Modeling Saltmarsh Sparrow Distribution in Connecticut.

Degree: MS, Ecology and Evolutionary Biology, 2011, University of Connecticut

  To develop a map that would predict where saltmarsh sparrows live and reproduce in Connecticut, I compared models to test a) whether field data… (more)

Subjects/Keywords: Ammodramus caudacutus; Bayesian hierarchical models; habitat use; occupancy modeling; remote sensing; salt marsh; saltmarsh sparrow

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

APA (6th Edition):

Meiman, S. T. (2011). Modeling Saltmarsh Sparrow Distribution in Connecticut. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/72

Chicago Manual of Style (16th Edition):

Meiman, Susan T. “Modeling Saltmarsh Sparrow Distribution in Connecticut.” 2011. Masters Thesis, University of Connecticut. Accessed April 20, 2019. https://opencommons.uconn.edu/gs_theses/72.

MLA Handbook (7th Edition):

Meiman, Susan T. “Modeling Saltmarsh Sparrow Distribution in Connecticut.” 2011. Web. 20 Apr 2019.

Vancouver:

Meiman ST. Modeling Saltmarsh Sparrow Distribution in Connecticut. [Internet] [Masters thesis]. University of Connecticut; 2011. [cited 2019 Apr 20]. Available from: https://opencommons.uconn.edu/gs_theses/72.

Council of Science Editors:

Meiman ST. Modeling Saltmarsh Sparrow Distribution in Connecticut. [Masters Thesis]. University of Connecticut; 2011. Available from: https://opencommons.uconn.edu/gs_theses/72


Brigham Young University

25. Ulrich, Michael David. Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior.

Degree: MS, 2009, Brigham Young University

 Meta-analysis is a tool used to combine the results from multiple studies into one comprehensive analysis. First developed in the 1970s, meta-analysis is a major… (more)

Subjects/Keywords: Bayesian Hierarchical Models; Correlations; Meta-analysis; Organizational Behavior; Job Performance; Job Satisfaction; Statistics and Probability

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

APA (6th Edition):

Ulrich, M. D. (2009). Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3348&context=etd

Chicago Manual of Style (16th Edition):

Ulrich, Michael David. “Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior.” 2009. Masters Thesis, Brigham Young University. Accessed April 20, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3348&context=etd.

MLA Handbook (7th Edition):

Ulrich, Michael David. “Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior.” 2009. Web. 20 Apr 2019.

Vancouver:

Ulrich MD. Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior. [Internet] [Masters thesis]. Brigham Young University; 2009. [cited 2019 Apr 20]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3348&context=etd.

Council of Science Editors:

Ulrich MD. Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior. [Masters Thesis]. Brigham Young University; 2009. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3348&context=etd


University of Minnesota

26. Goel, Varun. Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework.

Degree: PhD, Social, Administrative, and Clinical Pharmacy, 2010, University of Minnesota

 During the drug development process, drug candidates are screened for their efficacy and toxicity. Dose selection is a crucial part of drug development and specifying… (more)

Subjects/Keywords: Bayesian hierarchical models; Clinical Utility; Generalized non-linear models; Insomnia; Multi attribute decision theory; Pharmacometrics; Social, Administrative, and Clinical Pharmacy

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

APA (6th Edition):

Goel, V. (2010). Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/93902

Chicago Manual of Style (16th Edition):

Goel, Varun. “Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework.” 2010. Doctoral Dissertation, University of Minnesota. Accessed April 20, 2019. http://purl.umn.edu/93902.

MLA Handbook (7th Edition):

Goel, Varun. “Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework.” 2010. Web. 20 Apr 2019.

Vancouver:

Goel V. Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework. [Internet] [Doctoral dissertation]. University of Minnesota; 2010. [cited 2019 Apr 20]. Available from: http://purl.umn.edu/93902.

Council of Science Editors:

Goel V. Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework. [Doctoral Dissertation]. University of Minnesota; 2010. Available from: http://purl.umn.edu/93902

27. Carla Fernanda Pissini. Aplicações em meta-análise sob um enfoque bayesiano usando dados médicos.

Degree: 2006, Universidade Federal de São Carlos

Neste trabalho, consideramos o uso de Meta-análise sob um enfoque Bayesiano. Meta-análise é uma técnica estatística que combina resultados de diversos estudos in-dependentes, com o… (more)

Subjects/Keywords: ESTATISTICA; Teoria bayesiana da decisão estatística; Análise bayesiana hierárquica; MCMC; Modelo bayesiano hierárquico; Meta-análises; Bayesian analysis; Bayesian hierarchical models; Meta-analysis; Eects random models; Mixture of distributions; MCMC

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

APA (6th Edition):

Pissini, C. F. (2006). Aplicações em meta-análise sob um enfoque bayesiano usando dados médicos. (Thesis). Universidade Federal de São Carlos. Retrieved from http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=955

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):

Pissini, Carla Fernanda. “Aplicações em meta-análise sob um enfoque bayesiano usando dados médicos.” 2006. Thesis, Universidade Federal de São Carlos. Accessed April 20, 2019. http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=955.

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

MLA Handbook (7th Edition):

Pissini, Carla Fernanda. “Aplicações em meta-análise sob um enfoque bayesiano usando dados médicos.” 2006. Web. 20 Apr 2019.

Vancouver:

Pissini CF. Aplicações em meta-análise sob um enfoque bayesiano usando dados médicos. [Internet] [Thesis]. Universidade Federal de São Carlos; 2006. [cited 2019 Apr 20]. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=955.

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

Council of Science Editors:

Pissini CF. Aplicações em meta-análise sob um enfoque bayesiano usando dados médicos. [Thesis]. Universidade Federal de São Carlos; 2006. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=955

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


Universidade Nova

28. Sim�es, Paula Cristina Pires. Econometric models for spatio-temporal count data.

Degree: 2018, Universidade Nova

 To contribute to a better understanding of the fundamental process behind the spatial and temporal correlation as well as to describe the resulted dynamics, sometimes… (more)

Subjects/Keywords: Spatial Econometrics; Count Data; Bayesian Hierarchical Models; Bayesian Autoregressive Models; Hospital Management; Dom�nio/�rea Cient�fica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias

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

APA (6th Edition):

Sim�es, P. C. P. (2018). Econometric models for spatio-temporal count data. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/45216

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):

Sim�es, Paula Cristina Pires. “Econometric models for spatio-temporal count data.” 2018. Thesis, Universidade Nova. Accessed April 20, 2019. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/45216.

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

MLA Handbook (7th Edition):

Sim�es, Paula Cristina Pires. “Econometric models for spatio-temporal count data.” 2018. Web. 20 Apr 2019.

Vancouver:

Sim�es PCP. Econometric models for spatio-temporal count data. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2019 Apr 20]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/45216.

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

Council of Science Editors:

Sim�es PCP. Econometric models for spatio-temporal count data. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/45216

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


Victoria University of Wellington

29. Morris, Lindsay. Spatial and Temporal Modelling of Hoki Distribution using Gaussian Markov Random Fields.

Degree: 2017, Victoria University of Wellington

 In order to carry out assessment of marine stock levels, an accurate estimate of the current year's population abundance must be formulated. Standardized catch per… (more)

Subjects/Keywords: Spatial autocorrelation; Point referenced data; Gaussian Markov random fields; Bayesian hierarchical models; Gaussian; Markov; Spatial statistics

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

APA (6th Edition):

Morris, L. (2017). Spatial and Temporal Modelling of Hoki Distribution using Gaussian Markov Random Fields. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6426

Chicago Manual of Style (16th Edition):

Morris, Lindsay. “Spatial and Temporal Modelling of Hoki Distribution using Gaussian Markov Random Fields.” 2017. Masters Thesis, Victoria University of Wellington. Accessed April 20, 2019. http://hdl.handle.net/10063/6426.

MLA Handbook (7th Edition):

Morris, Lindsay. “Spatial and Temporal Modelling of Hoki Distribution using Gaussian Markov Random Fields.” 2017. Web. 20 Apr 2019.

Vancouver:

Morris L. Spatial and Temporal Modelling of Hoki Distribution using Gaussian Markov Random Fields. [Internet] [Masters thesis]. Victoria University of Wellington; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/10063/6426.

Council of Science Editors:

Morris L. Spatial and Temporal Modelling of Hoki Distribution using Gaussian Markov Random Fields. [Masters Thesis]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6426


University of Technology, Sydney

30. Menictas, M. Variational inference for heteroscedastic and longitudinal regression models.

Degree: 2015, University of Technology, Sydney

 The focus of this thesis is on the development and assessment of mean field variational Bayes (MFVB), which is a fast, deterministic tool for inference… (more)

Subjects/Keywords: Mean field variational Bayes (MFVB).; Bayesian hierarchical model setting.; Markov chain Monte Carlo (MCMC) benchmark.; Heteroscedastic and longitudinal semiparametric regression models.

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

APA (6th Edition):

Menictas, M. (2015). Variational inference for heteroscedastic and longitudinal regression models. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/38942

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):

Menictas, M. “Variational inference for heteroscedastic and longitudinal regression models.” 2015. Thesis, University of Technology, Sydney. Accessed April 20, 2019. http://hdl.handle.net/10453/38942.

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

MLA Handbook (7th Edition):

Menictas, M. “Variational inference for heteroscedastic and longitudinal regression models.” 2015. Web. 20 Apr 2019.

Vancouver:

Menictas M. Variational inference for heteroscedastic and longitudinal regression models. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/10453/38942.

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

Council of Science Editors:

Menictas M. Variational inference for heteroscedastic and longitudinal regression models. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/38942

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

[1] [2] [3]

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