Name

Year

Thesis

1

Lioyd Jaising

Ph. D., July 1985, Coadvisor at Texas Tech University

A Flexible Bathtub Hazard Model for Nonrepairable Systems

2

Pei-San Liu

Ph. D. , August 1989

Estimation of Parameters and Reliability in Generalized Life Models

3

Younshik Chung 

Ph. D., August 1990

On Estimation of Parameters from Compound Power Series Distributions

4

Fengchun Peng

Ph. D., December 1993

On the Use of Information and Divergence Measures in Bayesian Analysis

5

Lea Birmiwal

Ph. D., May 1994

Bayesian Robustness Measures Under Different Classes of Priors

6

Hong Chang

Ph.D., August 1995

Model Determination Using Predictive Distributions

7

Daniel T. Larose 

Ph.D., August 1996

Bayesian Approaches to Meta-Analysis Using Weighted Distributions and Grouped Random Effects Models

8

Kuo-ren Lou

Ph.D., August 1996

Some Aspects of Bayesian Robustness

9

Murali Niverthi

Ph.D., March1997

Bayesian Methods in Quality Control and Software Reliability

10

Malini Iyengar

Ph.D., July 1997

Bayesian Analysis of Compositional Data

11

Kaushik Patra 

Ph.D., Dec 2000

Innovative Approaches to Reliability and Survival Analysis

12

Athanasios Micheas 

Ph.D., July 2001

Statistical Modeling and Geometry of Shapes

13

Amitabha Bhaumik

Ph.D., July 2003

Dynamic Hierarchical Models with Applications

14

Rongwei Fu

Ph.D., August 2003

Probabilistic Structure and Statistical Inference for Nonexplicit Population Models and Allele Frequency

15

Junfeng Liu

Ph.D., June 2003

On Skew-elliptical Distributions with Applications

16

Seongho Song

Ph.D., August 2005

Hierarchical Bayesian Analysis of Genetic Diversity in Geographically Structured Populations

17

Samiran Ghosh

Ph.D., July 2006

Clustering, Classification and Function Estimation for High Dimensional Data Arising from Bioinformatics and Related Domains

18

Ulysses Diva

Ph.D., August 2006

Novel Approaches in Modeling Spatially Correlated Multivariate Data

19 

Feng Guo

Ph.D., August 2007

Modeling Genetic Data using Bayesian Hierarchical Models.

20

Sourish Das

Ph.D., June 2008

Generalized Linear Model and Beyond: An Innovative Approach from Bayesian Perspective

21

Xia Wang

Ph.D., May 2009

General Classes of Skewed Link Functions for Categorical Response Data

22 

Elijah Gaioni

Ph.D., July 2009

Semiparametric Functional Estimation and Extreme Value Modeling Using Mixture Distributions and Limited Quantile Information.

23 

Sylvie Tchumtchoua

Ph.D., July 2010 

Semiparametric Bayesian Semiparametric Models for Discrete Longitudinal Data.

24 

Sandra Hurtado Rua 

Ph.D., July 2011 

A New Class of Bayesian Survival Model and Beyond

25 

Marcos Prates (Co-advisor J. Yan)

Ph.D., July 2011 

Link Specification and Spatial Dependence for Generalized Linear Mixed Models

26 

Karthik Bharath (Co-advisor V. Pozdnyakov)

Ph. D. August 2012 

Asymptotics of Clustering Criteria for Smooth Distributions

27 

Ran Liu 

Ph. D. August 2012 

Clustering, classification and Segmentation, of 3-dimensional images

28 

Wenqing Li (Co-advisor M.-H. Chen)

Ph. D. September 2012 

Bayesian Design of Non-Inferiority Clinical Trials

29 

Xunjin (Tony) Jiang 

Ph.D. June 2013 

Hierarchical Bayesian Modeling and Analysis of Ecological and Evolutionary Biological Data

30 

Gyuhyeong Goh 

Ph.D. August 2015 

Model Selection and Diagnostics using Bregman Divergence. 

31 

Chantal Larose (Co-advisor O. Harel)

Ph.D. August 2015 

Clustering and Classification under Missing Data Mechanisms. 

32 

Guang Ouyang 

Ph.D. August 2015 

Social Network Analysis and Clustering. 

34 

Abhisek Saha (Co-advisor X. Wang) 

Ph.D. 2015 

Dynamic Item Response Modeling and Beyond. 

35 

Ved Deshpande (Co-advisor E. Schifano).

Ph.D. 2016 

Statistical Methods for Analyzing Bivariate Mixed Outcomes

33 

Dooti Roy 

Ph.D. 2017 

Extreme Value Distribution and it's application in Survival Analysis. 

36 

Aditya Mishra (Co-advisor Kun Chen).

Ph.D. 2017 

On Sequential Estimation of Multivariate Associations

37 

Chongliang Luo (Co-advisor Kun Chen).

Ph.D. 2017 

On Integrative Reduced-Rank Models and Applications

38 

Abhishek Bishoyi (Co-advisor X. Wang).

Ph.D. 2017 

Application of Gaussian Process Priors on Bayesian Regression. 

39 

Shariq Mohammed (Co-advisor Y. Zhang).

Ph.D. 2018 

Bayesian Variable Selection with Ap- plications to Neuroimaging Data.

40 

Tairan Ye (Co-advisor V. Lachos).

(Ph.D. August, 2019) 

On Generalization of Tweedie Distribution: a Bayesian Perspective. 

41 

Aritra Halder

(Ph.D. August, 2020) 

Wombling for Spatial and Spatiotemporal Processes. 

42 

Shuang Yin (Co-advisor E. Valdez).

(Ph.D. August, 2020) 

Bayesian Analysis for Imbalanced Datasets. 

43 

Ziqi Yang

(Ph.D. August, 2021) 

On Some Aspects of Network Clustering Methods 

44 

Jiyeon Song (Co-advisor E. Schiffano).

(Ph.D. August, 2021) 

Bayesian Variable Selection Using Gaussian and Dif- fused gamma Prior. 

45 

Xiaomeng Li

(Ph.D. August, 2021) 

Flexible Bayesian Modeling for Count Data 

46 

Zhiyong Hu

(Ph.D. August, 2022) 

Application of Gaussian Process Priors on Bayesian Modeling. 

47 

Lubing Wang(Co-advisor Y. Gu).

(Ph.D. August, 2022) 

Interaction Selection and Evaluation for Tweedie s Compound Poisson Distribution