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You searched for +publisher:"University of Florida" +contributor:("GHOSH,MALAY"). Showing records 1 – 30 of 55 total matches.

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University of Florida

1. Yoon, Joon. Information Asymmetry in Direction and Volatility Price Process and Transaction Level Analysis.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 This dissertation develops a structural methodology for equity pricing in a semi-strong efficient market and performs an empirical study supporting the need for such a… (more)

Subjects/Keywords: Adverse selection; Bid prices; Efficient markets; Fundamental value; Liquidity; Market prices; Prices; Pricing strategies; Regression analysis; Standard deviation; econometrics, market, markov, stochastic

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APA (6th Edition):

Yoon, J. (2009). Information Asymmetry in Direction and Volatility Price Process and Transaction Level Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024812

Chicago Manual of Style (16th Edition):

Yoon, Joon. “Information Asymmetry in Direction and Volatility Price Process and Transaction Level Analysis.” 2009. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0024812.

MLA Handbook (7th Edition):

Yoon, Joon. “Information Asymmetry in Direction and Volatility Price Process and Transaction Level Analysis.” 2009. Web. 25 Aug 2019.

Vancouver:

Yoon J. Information Asymmetry in Direction and Volatility Price Process and Transaction Level Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0024812.

Council of Science Editors:

Yoon J. Information Asymmetry in Direction and Volatility Price Process and Transaction Level Analysis. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024812


University of Florida

2. Rahman, Syed Hafizur. Cholesky-Based Model Selection and Estimation in Graphical Models.

Degree: PhD, Statistics, 2017, University of Florida

 Covariance estimation for high-dimensional datasets is a fundamental problem in modern day statistics with numerous applications. In these high dimensional datasets, the number of variables… (more)

Subjects/Keywords: cholesky  – convergence  – covariance  – dag  – graphical  – high-dimensional

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APA (6th Edition):

Rahman, S. H. (2017). Cholesky-Based Model Selection and Estimation in Graphical Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051806

Chicago Manual of Style (16th Edition):

Rahman, Syed Hafizur. “Cholesky-Based Model Selection and Estimation in Graphical Models.” 2017. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0051806.

MLA Handbook (7th Edition):

Rahman, Syed Hafizur. “Cholesky-Based Model Selection and Estimation in Graphical Models.” 2017. Web. 25 Aug 2019.

Vancouver:

Rahman SH. Cholesky-Based Model Selection and Estimation in Graphical Models. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0051806.

Council of Science Editors:

Rahman SH. Cholesky-Based Model Selection and Estimation in Graphical Models. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051806


University of Florida

3. Xiang, Ruoxuan. Consistency of High Dimensional Bayesian Models.

Degree: PhD, Statistics, 2016, University of Florida

 In the first project, we examine Bayes factor consistency in the context of Bayesian variable selection for normal linear regression models. We take a hierarchical… (more)

Subjects/Keywords: Approximation; Bayes theorem; Covariance; Matrices; Modeling; Parametric models; Statistical estimation; Statistical models; Statistics; Vertices; bayesian  – consistency

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APA (6th Edition):

Xiang, R. (2016). Consistency of High Dimensional Bayesian Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050143

Chicago Manual of Style (16th Edition):

Xiang, Ruoxuan. “Consistency of High Dimensional Bayesian Models.” 2016. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0050143.

MLA Handbook (7th Edition):

Xiang, Ruoxuan. “Consistency of High Dimensional Bayesian Models.” 2016. Web. 25 Aug 2019.

Vancouver:

Xiang R. Consistency of High Dimensional Bayesian Models. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0050143.

Council of Science Editors:

Xiang R. Consistency of High Dimensional Bayesian Models. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050143


University of Florida

4. Xu, Xiaofan. Bayesian Variable Selection and Estimation.

Degree: PhD, Statistics, 2014, University of Florida

 The paper considers the classical Bayesian variable selection problem and an important subproblem in which grouping information of predictors is available. We propose the Half… (more)

Subjects/Keywords: Estimators; Estimators for the mean; Linear regression; Modeling; Oracles; Parametric models; Regression analysis; Regression coefficients; Simulations; Statistics; bayesian  – group  – lasso  – selection  – thresholding  – variable

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APA (6th Edition):

Xu, X. (2014). Bayesian Variable Selection and Estimation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046905

Chicago Manual of Style (16th Edition):

Xu, Xiaofan. “Bayesian Variable Selection and Estimation.” 2014. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0046905.

MLA Handbook (7th Edition):

Xu, Xiaofan. “Bayesian Variable Selection and Estimation.” 2014. Web. 25 Aug 2019.

Vancouver:

Xu X. Bayesian Variable Selection and Estimation. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0046905.

Council of Science Editors:

Xu X. Bayesian Variable Selection and Estimation. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046905


University of Florida

5. Bhadra, Dhiman. Bayesian Semiparametric Regression and Related Applications.

Degree: PhD, Statistics, 2010, University of Florida

 Case-Control studies and small area estimation are two distinct areas of modern Statistics. The former deals with the comparison of diseased and healthy subjects with… (more)

Subjects/Keywords: Case control studies; Diseases; Income estimates; Median income; Modeling; School dropouts; Semiparametric modeling; Statistical estimation; Statistics; Trajectories; bayesian, case, current, mcmc, odds, penalized, random, semiparametric

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APA (6th Edition):

Bhadra, D. (2010). Bayesian Semiparametric Regression and Related Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041832

Chicago Manual of Style (16th Edition):

Bhadra, Dhiman. “Bayesian Semiparametric Regression and Related Applications.” 2010. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0041832.

MLA Handbook (7th Edition):

Bhadra, Dhiman. “Bayesian Semiparametric Regression and Related Applications.” 2010. Web. 25 Aug 2019.

Vancouver:

Bhadra D. Bayesian Semiparametric Regression and Related Applications. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0041832.

Council of Science Editors:

Bhadra D. Bayesian Semiparametric Regression and Related Applications. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041832


University of Florida

6. Sk, Minhazul Islam. Automatic Discovery of Latent Clusters in General Regression Models.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

 We present a flexible nonparametric Bayesian framework for automatic detection of local clusters in general regression models. The models are built using techniques that are… (more)

Subjects/Keywords: dirichlet-process  – regression  – statistics

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APA (6th Edition):

Sk, M. I. (2017). Automatic Discovery of Latent Clusters in General Regression Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050875

Chicago Manual of Style (16th Edition):

Sk, Minhazul Islam. “Automatic Discovery of Latent Clusters in General Regression Models.” 2017. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0050875.

MLA Handbook (7th Edition):

Sk, Minhazul Islam. “Automatic Discovery of Latent Clusters in General Regression Models.” 2017. Web. 25 Aug 2019.

Vancouver:

Sk MI. Automatic Discovery of Latent Clusters in General Regression Models. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0050875.

Council of Science Editors:

Sk MI. Automatic Discovery of Latent Clusters in General Regression Models. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0050875


University of Florida

7. Zhang, Long. On Security Properties of Random Matrix Masking.

Degree: PhD, Statistics, 2014, University of Florida

 When a research paper in statistics is published, original data are sometimes unpublishable. For example, personal identifiable data, personal sensitive data and commercially sensitive data… (more)

Subjects/Keywords: Applied statistics; Data collection; Eigenvalues; Haar measures; Logistic regression; Mathematical variables; Mathematical vectors; Matrices; Statistical analysis; Statistics; masking  – matrix  – orthogonal  – random  – romm  – security

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APA (6th Edition):

Zhang, L. (2014). On Security Properties of Random Matrix Masking. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047436

Chicago Manual of Style (16th Edition):

Zhang, Long. “On Security Properties of Random Matrix Masking.” 2014. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0047436.

MLA Handbook (7th Edition):

Zhang, Long. “On Security Properties of Random Matrix Masking.” 2014. Web. 25 Aug 2019.

Vancouver:

Zhang L. On Security Properties of Random Matrix Masking. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0047436.

Council of Science Editors:

Zhang L. On Security Properties of Random Matrix Masking. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047436


University of Florida

8. Liu, Minzhao. New Approaches for Quantile Regression.

Degree: PhD, Statistics, 2014, University of Florida

 Quantile regression is a powerful way to study the relationship between covariates and responses. Various approaches have been proposed to estimate quantile regression models. However,… (more)

Subjects/Keywords: Gaussian distributions; Inference; Missing data; Parametric models; Quantile regression; Quantiles; Regression analysis; Regression coefficients; Statistics; Uniform Resource Locators; quantile

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APA (6th Edition):

Liu, M. (2014). New Approaches for Quantile Regression. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046926

Chicago Manual of Style (16th Edition):

Liu, Minzhao. “New Approaches for Quantile Regression.” 2014. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0046926.

MLA Handbook (7th Edition):

Liu, Minzhao. “New Approaches for Quantile Regression.” 2014. Web. 25 Aug 2019.

Vancouver:

Liu M. New Approaches for Quantile Regression. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0046926.

Council of Science Editors:

Liu M. New Approaches for Quantile Regression. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046926


University of Florida

9. Sparks, Douglas Kyle. Posterior Consistency of Bayesian Regression Models.

Degree: PhD, Statistics, 2012, University of Florida

 We develop conditions for posterior consistency under a variety of Bayesian regression models, many of which are both necessary and sufficient.  We allow the number… (more)

Subjects/Keywords: Bayesian networks; Density; Frequentism; Mathematical independent variables; Multilevel models; Random variables; Regression analysis; Sample size; Statistics; Sufficient conditions; bayes  – bayesian  – consistency  – dimensional  – empirical  – g  – hierarchical  – high  – necessary  – posterior  – prior  – regression  – sufficient  – zellner

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APA (6th Edition):

Sparks, D. K. (2012). Posterior Consistency of Bayesian Regression Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044654

Chicago Manual of Style (16th Edition):

Sparks, Douglas Kyle. “Posterior Consistency of Bayesian Regression Models.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0044654.

MLA Handbook (7th Edition):

Sparks, Douglas Kyle. “Posterior Consistency of Bayesian Regression Models.” 2012. Web. 25 Aug 2019.

Vancouver:

Sparks DK. Posterior Consistency of Bayesian Regression Models. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0044654.

Council of Science Editors:

Sparks DK. Posterior Consistency of Bayesian Regression Models. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044654


University of Florida

10. Dasgupta, Shibasish. High Dimensional Inference and Variable Selection.

Degree: PhD, Statistics, 2013, University of Florida

 This dissertation consists of three research projects. The first project focuses on asymptotic expansions of posteriors for generalized linear models (GLM) with canonical link functions… (more)

Subjects/Keywords: Estimators; Generalized linear model; Linear models; Linear regression; Maximum likelihood estimations; Oracles; Regression analysis; Sample size; Statistical models; Statistics; asymptotic  – bayesian  – consistency  – dimensional  – expansion  – glm  – high  – inference  – kullback  – lasso  – leibler  – normality  – oracle  – posterior  – property  – selection  – variable

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APA (6th Edition):

Dasgupta, S. (2013). High Dimensional Inference and Variable Selection. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045721

Chicago Manual of Style (16th Edition):

Dasgupta, Shibasish. “High Dimensional Inference and Variable Selection.” 2013. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0045721.

MLA Handbook (7th Edition):

Dasgupta, Shibasish. “High Dimensional Inference and Variable Selection.” 2013. Web. 25 Aug 2019.

Vancouver:

Dasgupta S. High Dimensional Inference and Variable Selection. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0045721.

Council of Science Editors:

Dasgupta S. High Dimensional Inference and Variable Selection. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045721


University of Florida

11. Li, Chen. Linear Mixed Model Estimation with Dirichlet Process Random Effects.

Degree: PhD, Statistics, 2012, University of Florida

 The linear mixed model is very popular, and has proven useful in many areas of applications. (See, for example, McCulloch and Searle (2001), Demidenko (2004),… (more)

Subjects/Keywords: Bacteria; Covariance; Datasets; Eigenvectors; Estimators; Modeling; Significance level; Simulations; Statistics; Unbiased estimators; blue  – dirichlet  – linear  – mixed  – models  – ols  – process

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APA (6th Edition):

Li, C. (2012). Linear Mixed Model Estimation with Dirichlet Process Random Effects. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044412

Chicago Manual of Style (16th Edition):

Li, Chen. “Linear Mixed Model Estimation with Dirichlet Process Random Effects.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0044412.

MLA Handbook (7th Edition):

Li, Chen. “Linear Mixed Model Estimation with Dirichlet Process Random Effects.” 2012. Web. 25 Aug 2019.

Vancouver:

Li C. Linear Mixed Model Estimation with Dirichlet Process Random Effects. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0044412.

Council of Science Editors:

Li C. Linear Mixed Model Estimation with Dirichlet Process Random Effects. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044412


University of Florida

12. Huang, Lei. Survival And Reliability Analysis Under Polya Tree Processes Priors.

Degree: PhD, Statistics, 2013, University of Florida

 The thesis consists of three components, which are related to survival and lifetime data analysis. We propose a Bayesian nonparametric approach to testing treatment effects… (more)

Subjects/Keywords: Censored data; Censorship; Data analysis; Null hypothesis; Reliability functions; Sample size; Simulations; Statistical estimation; Statistical models; Statistics; nonparametric  – survival

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APA (6th Edition):

Huang, L. (2013). Survival And Reliability Analysis Under Polya Tree Processes Priors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045745

Chicago Manual of Style (16th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0045745.

MLA Handbook (7th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Web. 25 Aug 2019.

Vancouver:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0045745.

Council of Science Editors:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045745


University of Florida

13. Steorts, Rebecca Carter. Bayes and Empirical Bayes Benchmarking for Small Area Estimation.

Degree: PhD, Statistics, 2012, University of Florida

 Small area estimation has become increasingly popular due to growing demand for such statistics. In order to produce estimates of adequate precision for these small… (more)

Subjects/Keywords: Bayes estimators; Benchmarking; Counties; Estimated taxes; Estimation methods; Estimators; Income estimates; Population estimates; State estimation; Statistical estimation; area-level  – bayes  – benchmarking  – bootstrap  – empirical-bayes  – fay-herriot  – small-area

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APA (6th Edition):

Steorts, R. C. (2012). Bayes and Empirical Bayes Benchmarking for Small Area Estimation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043927

Chicago Manual of Style (16th Edition):

Steorts, Rebecca Carter. “Bayes and Empirical Bayes Benchmarking for Small Area Estimation.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0043927.

MLA Handbook (7th Edition):

Steorts, Rebecca Carter. “Bayes and Empirical Bayes Benchmarking for Small Area Estimation.” 2012. Web. 25 Aug 2019.

Vancouver:

Steorts RC. Bayes and Empirical Bayes Benchmarking for Small Area Estimation. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0043927.

Council of Science Editors:

Steorts RC. Bayes and Empirical Bayes Benchmarking for Small Area Estimation. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0043927


University of Florida

14. Wang, Chenguang. Bayesian Nonparametric and Semi-Parametric Methods for Incomplete Longitudinal Data.

Degree: PhD, Statistics, 2010, University of Florida

 BAYESIAN NONPARAMETRIC AND SEMI-PARAMETRIC METHODS FOR INCOMPLETE LONGITUDINAL DATA We consider inference in randomized longitudinal studies with missing data that is generated by skipped clinic… (more)

Subjects/Keywords: Biometrics; Data models; Inference; Missing data; Modeling; Parametric models; Placebos; School dropouts; Sensitivity analysis; Statistical models; bayesian, dropout, elicitation, intermittent, longitudinal, missing, nonparametric, shrinkage

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APA (6th Edition):

Wang, C. (2010). Bayesian Nonparametric and Semi-Parametric Methods for Incomplete Longitudinal Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041942

Chicago Manual of Style (16th Edition):

Wang, Chenguang. “Bayesian Nonparametric and Semi-Parametric Methods for Incomplete Longitudinal Data.” 2010. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0041942.

MLA Handbook (7th Edition):

Wang, Chenguang. “Bayesian Nonparametric and Semi-Parametric Methods for Incomplete Longitudinal Data.” 2010. Web. 25 Aug 2019.

Vancouver:

Wang C. Bayesian Nonparametric and Semi-Parametric Methods for Incomplete Longitudinal Data. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0041942.

Council of Science Editors:

Wang C. Bayesian Nonparametric and Semi-Parametric Methods for Incomplete Longitudinal Data. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041942


University of Florida

15. Zhang, Jianxing. Genotype X Environment Interaction Effects on Growth, Yield and Diameter Distribution for Loblolly and Slash Pine.

Degree: PhD, Forest Resources and Conservation, 2015, University of Florida

 No studies have investigated the consistency of genotype X environment (G X E) interactions from planting to mid-rotation in pines. The PPINES (Pine Productivity INteractions… (more)

Subjects/Keywords: Climate models; Diameters; Forests; Genotypes; Pine trees; Planting; Provenance; Silviculture; Species; Trees; bayesian  – breeding  – gxe  – weibull

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APA (6th Edition):

Zhang, J. (2015). Genotype X Environment Interaction Effects on Growth, Yield and Diameter Distribution for Loblolly and Slash Pine. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047421

Chicago Manual of Style (16th Edition):

Zhang, Jianxing. “Genotype X Environment Interaction Effects on Growth, Yield and Diameter Distribution for Loblolly and Slash Pine.” 2015. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0047421.

MLA Handbook (7th Edition):

Zhang, Jianxing. “Genotype X Environment Interaction Effects on Growth, Yield and Diameter Distribution for Loblolly and Slash Pine.” 2015. Web. 25 Aug 2019.

Vancouver:

Zhang J. Genotype X Environment Interaction Effects on Growth, Yield and Diameter Distribution for Loblolly and Slash Pine. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0047421.

Council of Science Editors:

Zhang J. Genotype X Environment Interaction Effects on Growth, Yield and Diameter Distribution for Loblolly and Slash Pine. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047421


University of Florida

16. Liao, Yuan. On the Strong Law of Large Numbers for Weighted Sums of Random Elements in Banach Spaces.

Degree: PhD, Statistics, 2012, University of Florida

 Let {Vn, n = 1} be a sequence of random elements in a real separable Banachspace and suppose that {Vn, n = 1} is stochastically… (more)

Subjects/Keywords: Banach space; Expected values; Law of large numbers; Lines in space; Mathematical theorems; Mathematics; Probability theory; Random variables; Real lines; Separable spaces; probability  – slln

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APA (6th Edition):

Liao, Y. (2012). On the Strong Law of Large Numbers for Weighted Sums of Random Elements in Banach Spaces. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043915

Chicago Manual of Style (16th Edition):

Liao, Yuan. “On the Strong Law of Large Numbers for Weighted Sums of Random Elements in Banach Spaces.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0043915.

MLA Handbook (7th Edition):

Liao, Yuan. “On the Strong Law of Large Numbers for Weighted Sums of Random Elements in Banach Spaces.” 2012. Web. 25 Aug 2019.

Vancouver:

Liao Y. On the Strong Law of Large Numbers for Weighted Sums of Random Elements in Banach Spaces. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0043915.

Council of Science Editors:

Liao Y. On the Strong Law of Large Numbers for Weighted Sums of Random Elements in Banach Spaces. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0043915


University of Florida

17. Chatterjee, Arkendu S. Bayesian Model Selection and Fit for Incomplete Longitudinal Data.

Degree: PhD, Statistics, 2013, University of Florida

 In this dissertation, we explore Bayesian approaches for model selection and fit in models for incomplete  longitudinal based on the posterior predictive distribution. We first explore… (more)

Subjects/Keywords: Data models; Longitudinal data; Missing data; Modeling; Parametric models; Predictive modeling; Sample size; School dropouts; Statistical models; Statistics; bayes  – incomplete  – longitudinal  – model  – posterior  – predictive  – selection

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APA (6th Edition):

Chatterjee, A. S. (2013). Bayesian Model Selection and Fit for Incomplete Longitudinal Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045176

Chicago Manual of Style (16th Edition):

Chatterjee, Arkendu S. “Bayesian Model Selection and Fit for Incomplete Longitudinal Data.” 2013. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0045176.

MLA Handbook (7th Edition):

Chatterjee, Arkendu S. “Bayesian Model Selection and Fit for Incomplete Longitudinal Data.” 2013. Web. 25 Aug 2019.

Vancouver:

Chatterjee AS. Bayesian Model Selection and Fit for Incomplete Longitudinal Data. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0045176.

Council of Science Editors:

Chatterjee AS. Bayesian Model Selection and Fit for Incomplete Longitudinal Data. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045176


University of Florida

18. Song,Jihyun. Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies.

Degree: PhD, Statistics, 2011, University of Florida

 My dissertation focuses on equivalence issues related to prospective and retrospective inferences in case-control studies. In case-control studies, one traces the exposure history of an… (more)

Subjects/Keywords: Case control studies; Consistent estimators; Diseases; Inference; Logistic regression; Maximum likelihood estimations; Maximum likelihood estimators; Parametric models; Regression analysis; Wildlife population estimation; bayesian  – case  – control  – error  – measurement  – prospective  – retrospective  – semiparametric

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APA (6th Edition):

Song,Jihyun. (2011). Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043213

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

Chicago Manual of Style (16th Edition):

Song,Jihyun. “Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies.” 2011. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0043213.

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

MLA Handbook (7th Edition):

Song,Jihyun. “Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies.” 2011. Web. 25 Aug 2019.

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

Vancouver:

Song,Jihyun. Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0043213.

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

Council of Science Editors:

Song,Jihyun. Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043213

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


University of Florida

19. Savenkov, Oleksandr. Novel Methods for Time Series Data in Clinical Studies.

Degree: PhD, Statistics, 2012, University of Florida

 Single subject or n-of-1 research designs have been widely used to evaluate treatment interventions. Many statistical procedures, such as: split-middle trend lines, regression trend line,… (more)

Subjects/Keywords: Autocorrelation; Autoregressive moving average; Data lines; False positive errors; Modeling; Permutation tests; Statistical models; Statistics; Time series; Time series models; design  – series  – single  – subject  – time

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APA (6th Edition):

Savenkov, O. (2012). Novel Methods for Time Series Data in Clinical Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044593

Chicago Manual of Style (16th Edition):

Savenkov, Oleksandr. “Novel Methods for Time Series Data in Clinical Studies.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0044593.

MLA Handbook (7th Edition):

Savenkov, Oleksandr. “Novel Methods for Time Series Data in Clinical Studies.” 2012. Web. 25 Aug 2019.

Vancouver:

Savenkov O. Novel Methods for Time Series Data in Clinical Studies. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0044593.

Council of Science Editors:

Savenkov O. Novel Methods for Time Series Data in Clinical Studies. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044593


University of Florida

20. Lee, Jae Woong. Context-Driven Approach for High Realism, Scalable Simulation of Human Activities in Smart Spaces.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 As demands for human activity recognition technology increase, simulation of human activities for training and testing purposes is becoming increasingly important. The simulation generates synthetic… (more)

Subjects/Keywords: Animation; Computational complexity; Datasets; Eigenvectors; Engines; Modeling; Scheduling; Sensors; Simulations; Three dimensional modeling; context-driven  – human-activities  – simulation  – smart-spaces

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APA (6th Edition):

Lee, J. W. (2015). Context-Driven Approach for High Realism, Scalable Simulation of Human Activities in Smart Spaces. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047811

Chicago Manual of Style (16th Edition):

Lee, Jae Woong. “Context-Driven Approach for High Realism, Scalable Simulation of Human Activities in Smart Spaces.” 2015. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0047811.

MLA Handbook (7th Edition):

Lee, Jae Woong. “Context-Driven Approach for High Realism, Scalable Simulation of Human Activities in Smart Spaces.” 2015. Web. 25 Aug 2019.

Vancouver:

Lee JW. Context-Driven Approach for High Realism, Scalable Simulation of Human Activities in Smart Spaces. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0047811.

Council of Science Editors:

Lee JW. Context-Driven Approach for High Realism, Scalable Simulation of Human Activities in Smart Spaces. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047811


University of Florida

21. Li, Ke. Bayesian Multiple Testing under Sparsity for Exponential Distributions.

Degree: PhD, Statistics, 2013, University of Florida

 Multiple testing problems are gaining increasing prominence in statistical research. The prime reason behind this is that there is a growing need for statisticians to… (more)

Subjects/Keywords: Bayes theorem; Blood grouping; False negative errors; Logical givens; Mathematical procedures; Null hypothesis; Oracles; P values; Statistics; Sufficient conditions; asymptotic  – optimality

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APA (6th Edition):

Li, K. (2013). Bayesian Multiple Testing under Sparsity for Exponential Distributions. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045795

Chicago Manual of Style (16th Edition):

Li, Ke. “Bayesian Multiple Testing under Sparsity for Exponential Distributions.” 2013. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0045795.

MLA Handbook (7th Edition):

Li, Ke. “Bayesian Multiple Testing under Sparsity for Exponential Distributions.” 2013. Web. 25 Aug 2019.

Vancouver:

Li K. Bayesian Multiple Testing under Sparsity for Exponential Distributions. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0045795.

Council of Science Editors:

Li K. Bayesian Multiple Testing under Sparsity for Exponential Distributions. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045795


University of Florida

22. Clavijo Michelangeli, Jose Alejandro. Modeling Reproductive Growth and Development in the Common Bean (Phaseolus vulgaris L.).

Degree: PhD, Agronomy, 2014, University of Florida

 The common bean (Phaseolus vulgaris L.) is an important grain legume for direct human consumption. In spite of its importance, many key questions remain about… (more)

Subjects/Keywords: Beans; Crops; Flowering; Genetics; Genotypes; Modeling; Phenotypic traits; Photoperiod; Quantitative trait loci; Seed pods; bean  – crop  – model  – phaseolus  – phenology  – seed

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APA (6th Edition):

Clavijo Michelangeli, J. A. (2014). Modeling Reproductive Growth and Development in the Common Bean (Phaseolus vulgaris L.). (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047454

Chicago Manual of Style (16th Edition):

Clavijo Michelangeli, Jose Alejandro. “Modeling Reproductive Growth and Development in the Common Bean (Phaseolus vulgaris L.).” 2014. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0047454.

MLA Handbook (7th Edition):

Clavijo Michelangeli, Jose Alejandro. “Modeling Reproductive Growth and Development in the Common Bean (Phaseolus vulgaris L.).” 2014. Web. 25 Aug 2019.

Vancouver:

Clavijo Michelangeli JA. Modeling Reproductive Growth and Development in the Common Bean (Phaseolus vulgaris L.). [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0047454.

Council of Science Editors:

Clavijo Michelangeli JA. Modeling Reproductive Growth and Development in the Common Bean (Phaseolus vulgaris L.). [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047454


University of Florida

23. Fuentes,Claudio. Interval Estimation for the Mean of the Selected Populations.

Degree: PhD, Statistics, 2011, University of Florida

 Consider an experiment in which p independent populations pii, with corresponding unknown means thetai are available and suppose that for every 1<= i <= p,… (more)

Subjects/Keywords: Confidence interval; Gaussian distributions; Population estimates; Population I stars; Population mean; Random variables; Sample mean; Statistical discrepancies; Statistical estimation; Statistics; ci  – confidence  – coverage  – estimation  – inference  – interval  – largest  – mean  – normal  – population  – probability  – selected  – simultaneous

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APA (6th Edition):

Fuentes,Claudio. (2011). Interval Estimation for the Mean of the Selected Populations. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043284

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

Chicago Manual of Style (16th Edition):

Fuentes,Claudio. “Interval Estimation for the Mean of the Selected Populations.” 2011. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0043284.

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

MLA Handbook (7th Edition):

Fuentes,Claudio. “Interval Estimation for the Mean of the Selected Populations.” 2011. Web. 25 Aug 2019.

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

Vancouver:

Fuentes,Claudio. Interval Estimation for the Mean of the Selected Populations. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0043284.

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

Council of Science Editors:

Fuentes,Claudio. Interval Estimation for the Mean of the Selected Populations. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043284

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


University of Florida

24. Wang, Shu. Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors.

Degree: PhD, Statistics, 2013, University of Florida

 Spatial data arise in a variety of fields, including econometrics, epidemiology, environmental science, and image analysis. As spatial data are increasingly prevalent, appropriate quantitative analyses… (more)

Subjects/Keywords: Bandwidth; Covariance; Estimation bias; Estimation methods; Estimators; Estimators for the mean; Nonparametric models; Sample size; Simulations; Spatial data; additive  – bandwidth  – correlated  – errors  – model  – nonparametric  – regression  – selection  – spatial

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APA (6th Edition):

Wang, S. (2013). Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045722

Chicago Manual of Style (16th Edition):

Wang, Shu. “Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors.” 2013. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0045722.

MLA Handbook (7th Edition):

Wang, Shu. “Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors.” 2013. Web. 25 Aug 2019.

Vancouver:

Wang S. Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0045722.

Council of Science Editors:

Wang S. Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045722


University of Florida

25. Guo, Peng-Cheng. Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation.

Degree: PhD, Astronomy, 2012, University of Florida

 Exoplanets are the planets around stars other than the sun. The detection and characterization of exoplanetary systems nowadays is one of the fields of the… (more)

Subjects/Keywords: Estimators; Extrasolar planets; Modeling; Orbitals; Parametric models; Planets; Principal components analysis; Space observatories; Standard deviation; Velocity; bayesian  – evidence  – exoplanet  – keplerian  – mcmc  – model  – nbody  – orbit  – rv

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

APA (6th Edition):

Guo, P. (2012). Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044871

Chicago Manual of Style (16th Edition):

Guo, Peng-Cheng. “Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0044871.

MLA Handbook (7th Edition):

Guo, Peng-Cheng. “Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation.” 2012. Web. 25 Aug 2019.

Vancouver:

Guo P. Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0044871.

Council of Science Editors:

Guo P. Orbital Characterization of Multi-Object Exoplanetary Systems with Radial Velocity Observation. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044871


University of Florida

26. Guo, Meixi. Empirical Bayes and Likelihood Based Methods for Measurement Error Models.

Degree: PhD, Statistics, 2012, University of Florida

 Measurement error is a problem that is commonly present in data collected from human respondents. Its early appearance dates back to nearly a century ago… (more)

Subjects/Keywords: Consistent estimators; Estimators; Estimators for the mean; Linear regression; Maximum likelihood estimations; Regression analysis; Simulations; Statism; Statistical estimation; Statistical models; empirical-bayes  – james-stein-estimation  – measurement-error  – profile-likelihood  – small-area-estimation

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APA (6th Edition):

Guo, M. (2012). Empirical Bayes and Likelihood Based Methods for Measurement Error Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044479

Chicago Manual of Style (16th Edition):

Guo, Meixi. “Empirical Bayes and Likelihood Based Methods for Measurement Error Models.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0044479.

MLA Handbook (7th Edition):

Guo, Meixi. “Empirical Bayes and Likelihood Based Methods for Measurement Error Models.” 2012. Web. 25 Aug 2019.

Vancouver:

Guo M. Empirical Bayes and Likelihood Based Methods for Measurement Error Models. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0044479.

Council of Science Editors:

Guo M. Empirical Bayes and Likelihood Based Methods for Measurement Error Models. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044479


University of Florida

27. Liu, Ruitao. On Some New Contributions toward Objective Priors.

Degree: PhD, Statistics, 2009, University of Florida

 Bayesian methods are increasingly used in recent years in the theory and practice of statistics. One key component in Bayesian inference is the selection of… (more)

Subjects/Keywords: Approximation; Density distributions; Fisher information; Mathematical independent variables; Mathematics; Matrices; Maximum likelihood estimators; Partial differential equations; Statism; Statistics; asymptotic, bayesian, divergence, jeffreys, likelihood, moment, posterior, prior, shrinkage

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APA (6th Edition):

Liu, R. (2009). On Some New Contributions toward Objective Priors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024909

Chicago Manual of Style (16th Edition):

Liu, Ruitao. “On Some New Contributions toward Objective Priors.” 2009. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0024909.

MLA Handbook (7th Edition):

Liu, Ruitao. “On Some New Contributions toward Objective Priors.” 2009. Web. 25 Aug 2019.

Vancouver:

Liu R. On Some New Contributions toward Objective Priors. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0024909.

Council of Science Editors:

Liu R. On Some New Contributions toward Objective Priors. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024909


University of Florida

28. Jennings-Shaffer, Christopher M. Analytic and Arithmetic Properties of Smallest Parts Partition Functions and Generalizations.

Degree: PhD, Mathematics, 2015, University of Florida

 In additive number theory a function of particular interest is the partition function. Related to counting the number of partitions of n is to weight… (more)

Subjects/Keywords: Analytics; Arithmetic; Generating function; Integers; Mathematical congruence; Mathematical inequalities; Mathematics; Number theory; Property partitioning; Vector spaces; congruences  – overpartition  – partition  – q-series  – quasi-modular  – spt  – spt-crank

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APA (6th Edition):

Jennings-Shaffer, C. M. (2015). Analytic and Arithmetic Properties of Smallest Parts Partition Functions and Generalizations. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047655

Chicago Manual of Style (16th Edition):

Jennings-Shaffer, Christopher M. “Analytic and Arithmetic Properties of Smallest Parts Partition Functions and Generalizations.” 2015. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0047655.

MLA Handbook (7th Edition):

Jennings-Shaffer, Christopher M. “Analytic and Arithmetic Properties of Smallest Parts Partition Functions and Generalizations.” 2015. Web. 25 Aug 2019.

Vancouver:

Jennings-Shaffer CM. Analytic and Arithmetic Properties of Smallest Parts Partition Functions and Generalizations. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0047655.

Council of Science Editors:

Jennings-Shaffer CM. Analytic and Arithmetic Properties of Smallest Parts Partition Functions and Generalizations. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047655


University of Florida

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

Degree: PhD, 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; Correlations; Covariance; Estimators; Longitudinal data; Matrices; Simulations; Statistical discrepancies; Statistical estimation; autocorrelation  – bandwidth  – bayesian  – covariance  – matrix  – methods  – nonparametric  – partial  – regression

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

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0044449.

MLA Handbook (7th Edition):

Wang, Yanpin. “Inference for Correlation Matrices for Longitudinal and Ordered Data.” 2012. Web. 25 Aug 2019.

Vancouver:

Wang Y. Inference for Correlation Matrices for Longitudinal and Ordered Data. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0044449.

Council of Science Editors:

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


University of Florida

30. Kim, Chan Min. Bayesian Methods for Inference on the Causal Effects of Mediation.

Degree: PhD, Statistics, 2013, University of Florida

 This thesis is motivated by the challenges in analyzing effects of an intervention and mediators on a target outcome, which is called mediation analysis. Typically,… (more)

Subjects/Keywords: Dynamic modeling; Inference; Nondestructive testing; Parametric models; Sensitivity analysis; Statistical discrepancies; Statistical models; Statistics; Tours; Tracheoesophageal fistula; bayesian  – causal  – mediation

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APA (6th Edition):

Kim, C. M. (2013). Bayesian Methods for Inference on the Causal Effects of Mediation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045730

Chicago Manual of Style (16th Edition):

Kim, Chan Min. “Bayesian Methods for Inference on the Causal Effects of Mediation.” 2013. Doctoral Dissertation, University of Florida. Accessed August 25, 2019. http://ufdc.ufl.edu/UFE0045730.

MLA Handbook (7th Edition):

Kim, Chan Min. “Bayesian Methods for Inference on the Causal Effects of Mediation.” 2013. Web. 25 Aug 2019.

Vancouver:

Kim CM. Bayesian Methods for Inference on the Causal Effects of Mediation. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 25]. Available from: http://ufdc.ufl.edu/UFE0045730.

Council of Science Editors:

Kim CM. Bayesian Methods for Inference on the Causal Effects of Mediation. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045730

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