# preferredTitle
Distinguished Professor and Department Head

# overview
Bayesian hierarchical Modeling, Nonparametric Regression and classification, Bioinformatics, Spatio-temporal Modeling, Machine learning, Functional Data analysis, Bayesian nonparametrics, Petroleum reservoir characterization, Uncertainty analysis of Computer Model outputs

# keywords[]
2.5 Research Design And Methodologies (aetiology)

# keywords[]
2.5 Research Design And Methodologies (aetiology)

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
4903 Numerical And Computational Mathematics

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Reversible Jump Markov Chain Monte Carlo

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Reversible Jump Markov Chain Monte Carlo

# keywords[]
Reversible Jump Markov Chain Monte Carlo

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Reversible-jump Markov Chain Monte Carlo

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
4606 Distributed Computing And Systems Software

# keywords[]
Reversible Jump Markov Chain Monte Carlo

# keywords[]
Reversible Jump Markov Chain Monte Carlo

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Reversible-jump Markov Chain Monte Carlo

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
Reversible Jump Markov Chain Monte Carlo

# keywords[]
Networking And Information Technology R&d

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Networking And Information Technology R&d

# keywords[]
35 Commerce, Management, Tourism And Services

# educationAndTraining[].organization.label
University of Connecticut - (Storrs, Connecticut, United States)

# awardsAndHonors[].label
Association of Former Students University-Level Distinguished Achievement Award, The

# publications[].label
Proportional Hazards Regression Using Bayesian Kernel Machines

# publications[].label
Wind speed prediction in a complex terrain

# publications[].label
Modified Markov chain Monte Carlo method for dynamic data integration using streamline approach

# publications[].label
Integration of Survival and Binary Data for Variable Selection and Prediction: A Bayesian Approach.

# publications[].label
A Bayesian semiparametric transformation model incorporating frailties

# publications[].label
Circadian Gene Selection for Time-to-event Phenotype by Integrating CNV and RNAseq Data.

# publications[].label
Bayesian Modeling of MPSS Data: Gene Expression Analysis of Bovine Salmonella Infection.

# publications[].label
Bayesian semiparametric inference for the accelerated failuretime model

# publications[].label
The Method of Manufactured Universes for validating uncertainty quantification methods

# publications[].label
Bayesian sparse graphical models for classification with application to protein expression data

# publications[].label
Statistical methods for comparative phenomics using high-throughput phenotype microarrays.

# publications[].label
Accounting for model uncertainty in seemingly unrelated regressions

# publications[].label
Systemic anti-inflammatory therapy aided by double-headed nanoparticles in a canine model of acute intraocular inflammation.

# publications[].publisher
American Association for the Advancement of Science (AAAS)

# publications[].label
Spatial Prediction of Rainfall Using Skew-Normal Processes

# publications[].label
Adaptive Conditional Quantile Neural processes

# publications[].label
Bayesian analysis of proportional hazards models built from monotone functions.

# publications[].label
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors

# publications[].label
Bayesian Hierarchical Modeling: Application Towards Production Results in the Eagle Ford Shale of South Texas

# publications[].label
Bayesian object classification of gold nanoparticles

# publications[].label
Bayes Regularized Graphical Model Estimation in High Dimensions

# publications[].label
Bayesian Analysis of Gene Expression Data

# publications[].label
Bayesian Models for Sparse Regression Analysis of High Dimensional Data*

# publications[].label
Optimal Transport Based Tracking of Space Objects in Cylindrical Manifolds

# publications[].label
Modeling Expert Opinion Arising as a Partial Probabilistic Specification

# publications[].label
A Bayesian method for identifying independent sources of non-random spatial patterns

# publications[].label
Nonparametric Bayesian Approaches to Non-homogeneous Hidden Markov Models

# publications[].label
Bayesian structural equation modeling in multiple omics data with application to circadian genes.

# publications[].label
A Bayesian approach to the detection of small low emission sources.

# publications[].label
Dietary Intakes of Amino Acids and Other Nutrients by Adult Humans

# publications[].label
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection

# publications[].label
How many samples are needed to build a classifier: a general sequential approach.

# publications[].label
An adaptive spatial model for precipitation data from multiple satellites over large regions

# publications[].label
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching

# publications[].label
Bayesian curve classification using wavelets

# publications[].label
Modeling Nonlinear Gene Interactions Using Bayesian MARS

# publications[].label
A Bayesian curve fitting approach to power spectrum estimation

# publications[].label
Bayesian Wavelet Shrinkage in Transformation Based Normal Models

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors.

# publications[].label
A Conditional Density Estimation Partition Model Using Logistic Gaussian Processes

# publications[].label
Two-Stage Metropolis-Hastings for Tall Data.

# publications[].label
Sea Surface Temperature Modeling using Radial Basis Function Networks With a Dynamically Weighted Particle Filter

# publications[].label
Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods

# publications[].label
Bayesian sparse graphical models and their mixtures.

# publications[].label
Adaptive Bayesian Variable Clustering via Structural Learning of Breast Cancer Data

# publications[].label
An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling

# publications[].label
Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis.

# publications[].label
Factorized Fusion Shrinkage for Dynamic Relational Data

# publications[].label
LargeScale Inverse Problems and Quantification of Uncertainty

# publications[].label
Semiparametric regression modeling with mixtures of Berkson and classical error, with application to fallout from the Nevada test site.

# publications[].label
Directionally dependent multi-view clustering using copula model.

# publications[].label
Real-time gene expression: statistical challenges in design and inference.

# publications[].label
Bayesian variable selection with graphical structure learning: Applications in integrative genomics.

# publications[].label
Spatially adaptive Bayesian penalized regression splines (P-splines)

# publications[].label
Data Augmentation for Support Vector Machines

# publications[].label
Quantile Graphical Models: Bayesian Approaches.

# publications[].label
A Bayesian prediction using the skew Gaussian distribution

# publications[].label
Analyzing nonstationary spatial data using piecewise Gaussian processes

# publications[].label
Bayesian Structural Equation Modeling in Multiple Omics Data Integration with Application to Circadian Genes

# publications[].label
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression

# publications[].label
Machine Learning in Structural Biology: Interpreting 3D Protein Images

# publications[].label
Bayesian Radial Basis Functions of Variable Dimension

# publications[].label
Semiparametric bayesian analysis of nutritional epidemiology data in the presence of measurement error.

# publications[].label
Bayesian and variational Bayesian approaches for flows in heterogeneous random media

# publications[].label
Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis.

# publications[].label
A generalized linear mixed model for longitudinal binary data with a marginal logit link function

# publications[].label
Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes

# publications[].label
Filtering remotely sensed chlorophyll concentrations in the Red Sea using a spacetime covariance model and a Kalman filter

# publications[].label
Structured Optimal Variational Inference for Dynamic Latent Space Models

# publications[].label
Multiple Omics Data Integration to Identify Long Noncoding RNA Responsible for Breast Cancer-Related Mortality.

# publications[].label
Bayesian graph selection consistency under model misspecification.

# publications[].publisher
Bernoulli Society for Mathematical Statistics and Probability

# publications[].label
Enrichment analysis in high-throughput genomics - accounting for dependency in the NULL.

# publications[].label
Bayesian hierarchical model for combining misaligned two-resolution metrology data

# publications[].label
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction

# publications[].label
Bayesian multivariate spatial models for roadway traffic crash mapping

# publications[].label
Investigating international new product diffusion speed: A semiparametric approach

# publications[].label
A Bayesian Approach to Detection of Small Low Emission Sources

# publications[].label
Combining information from several experiments with nonparametric priors

# publications[].label
A Bayesian Survival Tree Partition Model Using Latent Gaussian Processes

# publications[].label
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology.

# publications[].label
Broken Biological Size Relationships: A Truncated Semiparametric Regression Approach with Measurement Error

# publications[].label
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

# publications[].label
Bayesian hierarchical structured variable selection methods with application to MIP studies in breast cancer.

# publications[].label
Adaptive Posterior Convergence Rates in Bayesian Density Deconvolution with Supersmooth Errors

# publications[].label
BAYESIAN SPARSE GRAPHICAL MODELS FOR CLASSIFICATION WITH APPLICATION TO PROTEIN EXPRESSION DATA.

# publications[].label
Postnatal changes of plasma amino acids in suckling pigs.

# publications[].label
Using High Power Lasers to Create Radiative Shock Waves

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
BAYESIAN OBJECT CLASSIFICATION OF GOLD NANOPARTICLES

# publications[].label
Bayesian Functional Mixed Models for Survival Responses with Application to Prostate Cancer

# publications[].label
Bayesian Machine-Learning Methods for Tumor Classification Using Gene Expression Data

# publications[].label
Estimation of COVID-19 spread curves integrating global data and borrowing information

# publications[].label
Bayesian nonlinear regression for large p small n problems

# publications[].label
A Powerful Bayesian Test for Equality of Means in High Dimensions.

# publications[].label
Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model

# publications[].label
Hierarchical Bayesian models for predicting spatially correlated curves

# publications[].label
Bayesian Variable Selection with Structure Learning: Applications in Integrative Genomics

# publications[].label
Parameter Estimation of Partial Differential Equation Models.

# publications[].label
Bayesian wavelet networks for nonparametric regression.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Absent Data Generating Classifier for Imbalanced Class Sizes

# publications[].publisher
Journal of Machine Learning Research - JMLR

# publications[].label
Bayesian Methods for DNA Microarray Data Analysis

# publications[].label
Gene Selection for the Identification of Biomarkers in High- Throughput Data

# publications[].label
Radiative effects in radiative shocks in shock tubes

# publications[].label
Longitudinal Studies With Outcome-Dependent Follow-up: Models and Bayesian Regression.

# publications[].label
Semiparametric Bayesian analysis of matched case-control studies with missing exposure

# publications[].label
Bayesian Multiscale Finite Element Methods. Modeling missing subgrid information probabilistically

# publications[].label
Multilevel Dirichlet process mixture analysis of railway grade crossing crash data

# publications[].label
Bayesian sparse covariance decomposition with a graphical structure

# publications[].label
Why do we observe misclassification errors smaller than the Bayes error?

# publications[].label
A hierarchical Bayesian spatio-temporal model for extreme precipitation events

# publications[].label
A note on the scale parameter of the dirichlet process

# publications[].label
A Bayesian hierarchical model to understand the effect of terrain on wind turbine power curves

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Bayesian Solution Uncertainty Quantification for Differential Equations

# publications[].label
A Conditional Density Estimation Partition Model Using Logistic Gaussian Processes.

# publications[].label
Estimation of COVID-19 spread curves integrating global data and borrowing information

# publications[].label
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression.

# publications[].label
Bayesian Analysis of Semiparametric Proportional Hazards Models

# publications[].label
Bayesian curve estimation by polynomial of random order

# publications[].label
A Bayesian Curve Fitting Approach to Power Spectrum Estimation

# publications[].label
Semiparametric Bayesian analysis of gene-environment interactions with error in measurement of environmental covariates and missing genetic data.

# publications[].label
A Bayesian transformation model for wavelet shrinkage.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Spline-Based Emulators for Radiative Shock Experiments With Measurement Error

# publications[].label
A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees

# publications[].label
Spline-Based Bayesian Emulators for Large Scale Spatial Inverse Problems

# publications[].label
Functional clustering by Bayesian wavelet methods

# publications[].label
Bayesian Estimation of Correlation Matrices of Longitudinal Data

# publications[].label
Bayesian regression with multivariate linear splines

# publications[].label
Bayesian Partition Models for Subsurface Characterization

# publications[].label
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables

# publications[].label
Gene selection: a Bayesian variable selection approach.

# publications[].label
BAYESIAN MULTISCALE FINITE ELEMENT METHODS. MODELING MISSING SUBGRID INFORMATION PROBABILISTICALLY

# publications[].label
Moments of random vectors with skew t distribution and their quadratic forms

# publications[].label
Bayesian sparse graphical models and their mixtures using lasso selection priors

# publications[].label
Gene selection using a two-level hierarchical Bayesian model.

# publications[].label
Adaptive Bayesian Nonstationary Modeling for Large Spatial Datasets Using Covariance Approximations

# publications[].label
Probabilistic Hosting Capacity Analysis via Bayesian Optimization

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Predictive modeling of a radiative shock system

# publications[].label
Adaptive Bayesian variable clustering via structural learning of breast cancer data.

# publications[].label
A multistage, semi-automated procedure for analyzing the morphology of nanoparticles

# publications[].label
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data

# publications[].label
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection.

# publications[].label
Emulation of Numerical Models With Over-Specified Basis Functions

# publications[].label
Estimation of COVID-19 spread curves integrating global data and borrowing information.

# publications[].label
Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures

# publications[].label
Bayesian optimization with adaptive surrogate models for automated experimental design

# publications[].label
Efficient Bayesian Regularization for Graphical Model Selection.

# publications[].label
Bayesian Low Rank and Sparse Covariance Matrix Decomposition

# publications[].label
Efficient sampling techniques for uncertainty quantification in history matching using nonlinear error models and ensemble level upscaling techniques

# publications[].label
Bayesian hierarchical kernel machines for nonlinear regression and classification

# publications[].label
Generalized nonlinear modeling with multivariate free-knot regression splines

# publications[].label
Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing

# publications[].label
Quantile Graphical Models: Bayesian Approaches

# publications[].label
Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection

# publications[].label
An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Bayesian classification of tumours by using gene expression data

# publications[].label
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

# publications[].label
An efficient two-stage Markov chain Monte Carlo method for dynamic data integration

# publications[].label
Nanoparticle shape evolution identified through multivariate statistics.

# publications[].label
Bayesian data integration and variable selection for pan-cancer survival prediction using protein expression data.

# publications[].label
Prediction of protein interdomain linker regions by a hidden Markov model.

# publications[].label
INVESTIGATING INTERNATIONAL NEW PRODUCT DIFFUSION SPEED: A SEMIPARAMETRIC APPROACH

# publications[].label
Two-Stage Metropolis-Hastings for Tall Data

# publications[].label
Bayesian Flexible Modelling of Spatially Resolved Transcriptomic Data

# publications[].label
Prediction of Protein Interdomain Linker Regions by a Nonstationary Hidden Markov Model

# publications[].label
A variational Bayesian approach for inverse problems with skew-t error distributions

# publications[].label
Directionally Dependent Multi-View Clustering Using Copula Model

# publications[].label
A physics informed emulator for laser-driven radiating shock simulations

# publications[].label
Probabilistic Hosting Capacity Analysis via Bayesian Optimization

# publications[].label
Multiscale data integration using coarse-scale models

# publications[].label
A Bayesian semiparametric accelerated failure time model.

# publications[].label
Bayesian survival analysis using a MARS model.

# publications[].label
Blocked Gibbs sampler for hierarchical Dirichlet processes

# publications[].label
Moments of random vectors with skew t distribution and their quadratic forms (vol 63, pg 417, 2003)

# publications[].label
Analyzing spatial data using Skew-Gaussian processes

# publications[].label
Estimation of spectral density of a stationary time series via an asymptotic representation of the periodogram

# publications[].label
Gene expression-based glioma classification using hierarchical Bayesian Vector machines

# publications[].label
Bayesian and Variational Bayesian approaches for flows in heterogenous random media

# publications[].label
Propagation of a natural arsenic plume in West Bengal, India

# publications[].label
Generalized linear models with unknown link functions

# publications[].label
History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods

# publications[].label
PCAN: Probabilistic correlation analysis of two non-normal data sets.

# publications[].label
Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors.

# publications[].label
Bayesian Graph Selection Consistency Under Model Misspecification

# publications[].label
Inferring gene networks from discrete expression data.

# publications[].label
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems

# publications[].label
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

# publications[].label
A note on Bayesian spatial prediction using the elliptical distribution

# publications[].label
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology

# publications[].label
Bayesian nonparametric regression analysis of data with random effects covariates from longitudinal measurements.

# publications[].label
A generalized linear mixed model for longitudinal binary data with a marginal logit link function.

# editorOf[].label
Generalized Linear Models A Bayesian Perspective

# researcherOn[].label
Scalable multilevel uncertainty quantification concepts for extreme-scale multiscale problems

# researcherOn[].awardedBy.label
United States Department of Energy - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Cloud Computing Based Robust Space Situational Awareness

# researcherOn[].awardedBy.label
United States Air Force - (Arlington, Virginia, United States)

# researcherOn[].awardedBy.preferredLabel
DOD-Air Force-Office of Scientific Research

# researcherOn[].label
Small Animal Model Vaccines and Pathogenesis - BA 23-1171

# researcherOn[].awardedBy.label
National Institutes of Health - (Bethesda, Maryland, United States)

# researcherOn[].awardedBy.preferredLabel
DHHS-NIH-National Institute of Allergy and Infectious Diseases

# researcherOn[].label
Measurement Error, Nutrition, Physical Activity and Cancer

# researcherOn[].awardedBy.label
National Institutes of Health - (Bethesda, Maryland, United States)

# researcherOn[].label
BIGDATA: IA: Collaborative Research: From Bytes to Watts - A Data Science Solution to Improve Wind Energy Reliability and Operation

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# researcherOn[].label
Graph-based Bayesian Analysis of Genomics and Proteomics Data

# researcherOn[].awardedBy.label
National Institutes of Health - (Bethesda, Maryland, United States)

# researcherOn[].label
Nutrition, Biostatistics and Bioinformatics Training Grant

# researcherOn[].awardedBy.label
National Institutes of Health - (Bethesda, Maryland, United States)

# researcherOn[].label
HDR Tripods: Texas A&M Research Institute for Interdisciplinary Foundations of DATA Science (TRIFECDAS)

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# streetAddress
Texas A&M University; Department Of Statistics; 3143 TAMU

# etdChairOf[].label
Chakraborty, Antik (2018-08). Bayesian Shrinkage: Computation, Methods and Theory. Doctoral Dissertation.

# etdChairOf[].label
Chang, Ilsung (2003-05). Bayesian inference on mixture models and their applications. Doctoral Dissertation.

# etdChairOf[].label
Ryu, Duchwan (2005-08). Regression analysis with longitudinal measurements. Doctoral Dissertation.

# etdChairOf[].label
Hartman, Brian Matthew (2010-08). Bayesian Hierarchical, Semiparametric, and Nonparametric Methods for International New Product Di ffusion. Doctoral Dissertation.

# etdChairOf[].label
Song, Joon Jin (2004-08). Bayesian multivariate spatial models and their applications. Doctoral Dissertation.

# etdChairOf[].label
Mondal, Anirban (2011-08). Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems. Doctoral Dissertation.

# etdChairOf[].label
Zhang, Lin (2012-12). Application of Bayesian Hierarchical Models in Genetic Data Analysis. Doctoral Dissertation.

# etdChairOf[].label
Gold, David L. (2007-08). Bayesian learning in bioinformatics. Doctoral Dissertation.

# etdChairOf[].label
De, Debkumar (2014-05). Essays on Bayesian Time Series and Variable Selection. Doctoral Dissertation.

# etdChairOf[].label
Dhavala, Soma Sekhar (2010-12). Bayesian Semiparametric Models for Heterogeneous Cross-platform Differential Gene Expression. Doctoral Dissertation.

# etdChairOf[].label
Sarkar, Abhra (2014-06). Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors. Doctoral Dissertation.

# etdChairOf[].label
Konomi, Bledar (2011-12). Bayesian Spatial Modeling of Complex and High Dimensional Data. Doctoral Dissertation.

# etdChairOf[].label
Ray, Shubhankar (2006-10). Nonparametric Bayesian analysis of some clustering problems. Doctoral Dissertation.

# etdChairOf[].label
Payne, Richard Daniel (2018-05). Two-Stage Metropolis Hastings; Bayesian Conditional Density Estimation & Survival Analysis via Partition Modeling, Laplace Approximations, and Efficient Computation. Doctoral Dissertation.

# etdChairOf[].label
Lee, Kyeong Eun (2005-08). Bayesian models for DNA microarray data analysis. Doctoral Dissertation.

# etdChairOf[].label
Wang, Yanqing (2014-08). Relative Risks Analysis in Nutritional Epidemiology. Doctoral Dissertation.

# etdChairOf[].label
Ghosh, Souparno (2009-08). Copula Based Hierarchical Bayesian Models. Doctoral Dissertation.

# etdChairOf[].label
Wang, Xiaohui (2006-12). Bayesian classification and survival analysis with curve predictors. Doctoral Dissertation.

# etdChairOf[].label
Talluri, Rajesh (2011-08). Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. Doctoral Dissertation.

# etdChairOf[].label
Xun, Xiaolei (2012-07). Statistical Inference in Inverse Problems. Doctoral Dissertation.

# etdChairOf[].label
Bae, Kyounghwa (2005-08). Bayesian model-based approaches with MCMC computation to some bioinformatics problems. Doctoral Dissertation.