Stat-Me
Estimation in nonstationary random coefficient autoregressive models
Single-Index Model-Assisted Estimation In Survey Sampling
Sparse Estimators and the Oracle Property, or the Return of Hodges Estimator
Sparse sampling: Spatial design for monitoring stream networks
Network tomography based on 1-D projections
Active Set and EM Algorithms for Log-Concave Densities Based on Complete and Censored Data
Empirical Likelihood Confidence Intervals for Nonparametric Functional Data Analysis
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
Principal Fitted Components for Dimension Reduction in Regression
Bayesian MAP Model Selection of Chain Event Graphs
Delayed rejection schemes for efficient Markov-Chain Monte-Carlo sampling of multimodal distributions
A flexible Bayesian generalized linear model for dichotomous response data with an application to text categorization
High Dimensional Nonlinear Learning using Local Coordinate Coding
A Conversation With Harry Martz
The Use of Unlabeled Data in Predictive Modeling
Some aspects of extreme value theory under serial dependence
Regularized estimation of large-scale gene association networks using graphical Gaussian models
Bayesian Adaptive Lasso
Mixed membership stochastic blockmodels
Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times
Bayesian Thought in Early Modern Detective Stories: Monsieur Lecoq, C. Auguste Dupin and Sherlock Holmes
Summarization and Classification of Non-Poisson Point Processes
