Faculty Research Interests
- High dimension low sample size problems
- Statistical learning
- Symbolic Data
- Epidemic Theory
- AIDS
- Time Series
- Sequential Analysis
- Small Area Estimation
- Survey Sampling
- Baysian Analysis
- Bayes-Frequentist Interface
- Likelihood Inference
- Multivariate Analysis
- Asymptotics
- Linear Models
- Development of Non-subjective Priors
Statistics Education, Pre-K-16
- Statistical Education
- Statistical Graphics
- Statistical Computing
- Generalized Linear and Nonlinear Regression Models
- Analysis of Clustered Data
- Mixture Models
- Undergraduate Learning of Statistics
- Curriculum Development for Statistics grades 6 - 16
- Quantitative Literacy and Reasoning
- Likelihood Theory (with an emphasis on empirical likelihood)
- Applications in Social and Behavioral Science
- Model Selection and Interpretation
- The History of Statistics
- Analysis of Functional Neuroimaging Data
- The Role of Statistics in Society
- Nonparametric/Semi-parametric statistical methods, Functional data analysis
- Spatial Statistics; Time Series; Correlation Estimation; Bootstrap/Sub-sampling
- Measurement error models; Bayesian methods; MCMC algorithms
My research interests include phylogenetics, modeling biological data, statistical analysis of molecular data, and parallel computing. I am particularly interested in reconstructing species phylogenies from multilocus sequences. I and my colleagues have developed several phylogenetic methods for estimating the evolutionary history of species.
- Design of Experiments
- Applied Statistics
- Optimization and Genetic Algorithms
- Applied Probability
- Extreme Value Theory
- Gaussian Processes
- Bootstrapping
- Time Series and Heavy Tailed Processes
- Statistical Education
- Technology in Statistics
- Multiscale Analyis
- Nonparametric Function Estimation
- Statistical Learning
- Statistical Education
- Technology in Statistics
- Statistical Consulting
- Climate Statistics
- Statistical Phlylogenetics
- Statistical Genomics
- Population Genetics
- Properties and applications of seasonal time series
- Applying image models to social networks
- Properties of the maximum pseudo-likelihood estimate for Markov random fields
- Sequential estimation
- branching processes
- bootstrap
- adaptive designs
- linear and nonlinear time series
- Design of Experiments
- Linear Models
- Survey Sampling
- Non/semi- parametric estimation and inference
- Nonlinear time series
- Survey sampling
- Variable selection and dimension reduction
- Financial economics
- Robust statistics
- Computational statistics
- Data mining
- Statistics education
- Exploratory and graphical data analysis
- Medical Statistics
- Epidemiology
- Financial modeling
- Dimension Reduction and Data Visualization
- Data Mining and Variable Selections
- Theory and Application of Multivariate Methods