Stat-Me
Monotonic convergence of a general algorithm for computing optimal designs
Periodic Chandrasekhar recursions
Tests for zero-inflation and overdispersion
Comment: Fisher Lecture: Dimension Reduction in Regression
Sampling from Dirichlet populations: estimating the number of species
Nonparametric estimation for Levy processes from low-frequency observations
Bayesian separation of spectral sources under non-negativity and full additivity constraints
Stochastic blockmodels with growing number of classes
Decentralized Sequential Hypothesis Testing using Asynchronous Communication
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC
Interval Estimation of Bounded Variable Means via Inverse Sampling
Optimal designs for Lasso and Dantzig selector using Expander Codes
Weighted least squares methods for prediction in the functional data linear model
SMART: A statistical framework for optimal design matrix generation with application to fMRI
Prediction of Ordered Random Effects in a Simple Small Area Model
Some optimal criteria of model-robustness for two-level non-regular fractional factorial designs
Imputation Estimators Partially Correct for Model Misspecification
Least Squares and Shrinkage Estimation under Bimonotonicity Constraints
Influence diagnostics in Birnbaum-Saunders nonlinear regression models
Data-driven goodness-of-fit tests
Enhancing hyperspectral image unmixing with spatial correlations
On a Multiplicative Algorithm for Computing Bayesian D-optimal Designs
