Stat-Me
Bayesian Vertex Nomination
Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design
Quantitative model validation techniques: new insights
Proposals which speed-up function-space MCMC
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
Two Optimal Strategies for Active Learning of Causal Models from Interventional Data
Better subset regression
Graphical Condition for Identification in recursive SEM
Sparse Nonparametric Graphical Models
Using complex surveys to estimate the $L_1$-median of a functional variable: application to electricity load curves
Competitive Comparison of Optimal Designs of Experiments for Sampling-based Sensitivity Analysis
Nonconcave Penalized Spline
Correcting gene expression data when neither the unwanted variation nor the factor of interest are observed
Designing various component analysis at will
Extension of Three-Variable Counterfactual Casual Graphic Model: from Two-Value to Three-Value Random Variable
Discovering Cyclic Causal Models by Independent Components Analysis
The Landscape of Complex Networks
Power-law distributions in binned empirical data
Randomization Tests in Switchback Experiments
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation
A Permutation Approach to Testing Interactions in Many Dimensions
