Nonparametric Models for Longitudinal Data

Replication and Evidence Factors in Observational Studies

Kernel Smoothing

Generalized Additive Models

Object Oriented Data Analysis

Sparse Graphical Modeling for High Dimensional Data

Hidden Markov Models for Time Series

Pareto Distributions

Statistical Learning with Sparsity

Bayesian Nonparametrics for Causal Inference and Missing Data

Dependence Modeling with Copulas

Data Analysis and Approximate Models

Hierarchical Modeling and Analysis for Spatial Data

Design and Analysis of Cross-Over Trials

Statistical Learning with Sparsity

Hidden Markov Models for Time Series