COLLEGE OF ARTS AND SCIENCES Department of Mathematics and Statistics

Statistics and Probability

Statistics research at the Department focuses on the broad areas of simultaneous inference, analysis of non-Euclidean data, analysis of categorical data, Bayesian modeling, object-oriented data analysis, spatial data analysis, and inference under dynamic parametric models. These include more specific areas of interest such as control and estimation of the false discovery rate, statistical modeling of data on the sphere, statistical analysis of trees, images, and functional data, empirical studies of machine learning models, and change-point analysis under fixed dimensions as well as high dimensions. Statistics faculty members at the Department often conduct research in collaboration within the Department and with the School of Food Science, Department of Pharmaceutical Sciences, School of Materials Sciences and Mechanical Engineering, College of Veterinary Medicine, Department of Engineering and Computer Science, and Department of Management, Information systems, and Entrepreneurship.

Chencheng Cai

https://www.math.wsu.edu/faculty/ccai
chencheng.cai@wsu.edu
Neill 405
Causal inference and experimental design under interference; Time series analysis; high-dimensional matrix decomposition; Monte Carlo methods.
Statistics and Probability
Data Analytics
Probability and Stochastic Processes
Sample Publications
Optimizing Randomized and Deterministic Saturation Designs under Interference
KoPA: Automated Kronecker Product Approximation

Xiongzhi Chen

http://math.wsu.edu/faculty/xchen/
xiongzhi.chen@wsu.edu
Neill 230
Simultaneous inference, theoretical foundation of analysis of non-Euclidean data and of deep learning models, statistics of stochastic differential equations, and harmonic analysis.
Applied Mathematics
Statistics and Probability
Probability and Stochastic Processes
Sample Publications
Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue–Stieltjes integral equations
A weighted FDR procedure under discrete and heterogeneous null distributions

Nairanjana Dasgupta

http://www.math.wsu.edu/faculty/ndasgupta/
dasgupta@wsu.edu
Neill 403
Genomics and Bio-informatics. Dealing with large scale multiplicity in genomic, proteomic and metabolomic data sets. Dealing with dependencies in binary and ordinal data. Modeling growth and bloom phases of WA apples. Multiple Comparisons, Comparison to Control, Logistic Distribution, Optimal Designs.
Statistics and Probability
Biostatistics
Data Analytics
Sample Publications

Daryl DeFord

http://www.math.wsu.edu/faculty/ddeford/
daryl.deford@wsu.edu
Neill 328
My research focuses on applications of combinatorial and algebraic methods to the analysis of social data including political redistricting and social network analysis. Recent projects include the following with more details on Applied Mathematics
Statistics and Probability
Pure Mathematics
Data Analytics
Probability and Stochastic Processes
Number Theory and Combinatorics
Sample Publications
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming
ReCombination: A family of Markov Chains for Redistricting

Krishna (Assoc Chair) Jandhyala

http://www.math.wsu.edu/faculty/jand/
jandhyala@wsu.edu
Neill 407
The problem of multiple change-points in time-series with applications to environmental data.
Statistics and Probability
Probability and Stochastic Processes
Sample Publications

Dean/Harry Johnson

http://www.math.wsu.edu/faculty/djohnson/
dean_johnson@wsu.edu
Neill 414
Statistical Consulting and Statistics Education
Statistics and Probability
Sample Publications
Factors Relating to the Degree to Which Statistical Consulting Clients Deem Their Consulting Experiences to be a Success
Traditional versus Non-traditional Teaching: Perspectives of Students in Introductory Statistics Classes

Bala Krishnamoorthy

http://www.math.wsu.edu/faculty/bkrishna/
kbala@wsu.edu
Vanc
Applied algebraic topology, Geometric measure theory,Mathematical aspects of 3D printing,Discrete and nonlinear optimization,Geometry and topology in physical chemistry,Computational models for surgical and biomedical applications,Computational biology.
Applied Mathematics
Statistics and Probability
Mathematical Biology
Optimization and Data Analytics
Data Analytics
Probability and Stochastic Processes
Analysis and PDEs
Geometry and Topology
Sample Publications
Optimal homology and linear programming
Continuous toolpath planning in 3D printing

Sergey Lapin

http://www.math.wsu.edu/faculty/slapin/
slapin@wsu.edu
Evrt 405
Numerical modeling of biological fluids, fluid-structure interaction problems
Applied Mathematics
Statistics and Probability
Mathematics Education
Mathematical Biology
Fluid and Solid Mechanics
Data Analytics
Sample Publications
Waveform parameters of retrobulbar vessels in glaucoma patients with different demographics and disease severity
Modeling Refugee Movement Based on a Continuum Mechanics Phase - Field Approach of Porous Media

Haijun Li

http://www.math.wsu.edu/math/faculty/lih/
liklu@wsu.edu
Neill 317
Copula Theory for Multivariate Extremes, Risk and Choquet Capacities, Free Probability under Group-Invariance
Statistics and Probability
Pure Mathematics
Mathematical Finance
Probability and Stochastic Processes
Sample Publications
Tail dependence functions and vine copulas
Orthant tail dependence of multivariate extreme value distributions

Xueying/Snow Wang

http://www.math.wsu.edu/faculty/xueying/
xueying.wang@wsu.edu
Neill 201
Integrating techniques from the fields of dynamical systems, stochastic processes and statistics to develop and analyze mathematical models. Application areas: (a) computational neuroscience; (b) infectious disease modeling; (c) population ecology.
Applied Mathematics
Statistics and Probability
Mathematical Biology
Optimization and Data Analytics
Probability and Stochastic Processes
Analysis and PDEs
Sample Publications
A reaction-advection-diffusion model of cholera epidemics with seasonality and human behavior change
Patterns of synchronization in 2D networks of inhibitory neurons

Yuan Wang

http://www.math.wsu.edu/faculty/ywang/
yuan.wang@wsu.edu
Neill 409
Objected-Oriented Data Analysis, Bayesian Statistics, Non-parametric methods, classification and clustering analysis
Statistics and Probability
Bayesian Inference
Biostatistics
Data Analytics
Sample Publications
Nonparametric Regression Model with Tree-structured Response
Functional Model for Classification of Correlated Objects
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