Stat-Me
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
Scalable Inference of Customer Similarities from Interactions Data using Dirichlet Processes
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data
A group model for stable multi-subject ICA on fMRI datasets
Noise Invalidation Denoising
Model Selection Consistency for Cointegrating Regressions
Introducing Monte Carlo Methods with R Solutions to Odd-Numbered Exercises
Learning high-dimensional directed acyclic graphs with latent and selection variables
Modulated Oscillations in Three Dimensions
Spatially varying coefficient modeling for large datasets: Eliminating N from spatial regressions
Statistical Inference in Dynamic Treatment Regimes
Confidence sets for network structure
Modeling Network Evolution Using Graph Motifs
Efficient regularized isotonic regression with application to gene--gene interaction search
Computing the confidence levels for a root-mean-square test of goodness-of-fit
4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI
Sampling strategy and statistical analysis for radioactive waste characterization
Outlier Detection Using Nonconvex Penalized Regression
Deep determinism and the assessment of mechanistic interaction between categorical and continuous variables
Function Estimation Using Data Adaptive Kernel Estimation - How Much Smoothing?
LASSO ISOtone for High Dimensional Additive Isotonic Regression
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow
