Elif Acar
- Multivariate Statistics
- Copulas, Statistical Genetics
- Nonparametric Estimation
- Measurement Error
- Survival Analysis
- Factor Analysis
- Ordinal Data
- Longitudinal Data
- Small Area Estimation
- Meta-Analysis
- Reproducibility
Aleeza Gerstein
- Biostatistics
- Bioinformatics
- Clustering
- Data Visualization
Mohammad Jafari Jozani
- Statistical (Machine) Learning
- Complex Data Analysis
- High Dimensional Data Analysis
- Parametric and Nonparametric Inference
- Ranked Set Sampling
- Small Area Estimation.
Brad Johnson
- Complex Analytics
- Network Analysis
- The Distribution Theory of Runs and Patterns
- Sampling Theory and Rank Based Sampling Methods
- Probability
- Stochastic Processes
- Mathematical Statistics
Alexandre Leblanc
- Nonparametric Statistics
- Function Estimation
- Data Depth
- Asymptotic Theory
- Computational Statistics
- High Dimensional Data
- Sparse Data Structures
Saumen Mandal
- Optimal Design
- Constrained Optimization
- Optimal Response-Adaptive Design
- Incomplete Block Design
- Linear Models
- Estimation Theory
- Goodness-of-Fit Tests
- Categorical Random Variables
Yuliya Martsynyuk
- Errors-in-Variables Models
- Regression Models
- Nonparametric Change-Point Analysis
- Invariance Principles and Related Limit Theorems
- Self-Normalized and Studentized Partial Sums Processes
- Domains of Attraction of Normal Laws
- Gaussian Processes
Saman Muthukumarana
- Bayesian Methods
- Data Analytics
- Computational Statistics
- Statistics in Sports
- Social Network Analysis
- Biostatistics
- Mark-Recapture Methods
A. Thavaneswaran
- Research Interests
- Inference for Stochastic Processes and Applications
- Dynamic Data Science and Soft Computing.
- Data Driven Volatility Forecasting and Applications in Risk Management
- Portfolio Optimization
- Option Pricing and Algorithmic Trading
Jenna Tichon
- Experimental Design
- Computational Statistics
- Data Visualization
- R Programming
- Statistical Pedagogy
- Active Learning
Liqun Wang
- Boundary Crossing Probability
- First Passage Time
- Inference in Nonlinear Models
- Measurement Error Problem
- Variable Selection and Data Assimilation
- Simulation Methods for Statistical Computation and Optimization
- Biostatistics
- Econometrics
Po Yang
Design of Experiments and Biostatistics