Stat-Me
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
Parametric fitting of data obtained from detectors with finite resolution and limited acceptance
Predictive Subsampling for Scalable Inference in Networks
Variable Selection Incorporating Prior Constraint Information into Lasso
Synthetic-Powered Multiple Testing with FDR Control
Quantifying social group evolution
On the Goodness-of-Fit Testing for Ergodic Diffusion Processes
On Birnbaum-Saunders Inference
Optimal sequential testing of two simple hypotheses in presence of control variables
A Bayes method for a Bathtub Failure Rate via two $mathbf{S}$-paths
