Stat-Co
Efficient sampling of high-dimensional Gaussian fields: the non-stationary / non-sparse case
Exploratory studies of human gait changes using depth cameras and considering measurement errors
Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package
MM Algorithms for Minimizing Nonsmoothly Penalized Objective Functions
Diagonal Based Feature Extraction for Handwritten Alphabets Recognition System using Neural Network
Improved Online Wilson Score Interval Method for Community Answer Quality Ranking
Scalable Inference of Customer Similarities from Interactions Data using Dirichlet Processes
Probability boxes on totally preordered spaces for multivariate modelling
Counting with Combined Splitting and Capture-Recapture Methods
Recursive Shortest Path Algorithm with Application to Density-integration of Weighted Graphs
MonteCarloMeasurements.jl: Nonlinear Propagation of Arbitrary Multivariate Distributions by means of Method Overloading
Model Selection Consistency for Cointegrating Regressions
Introducing Monte Carlo Methods with R Solutions to Odd-Numbered Exercises
Sampling decomposable graphs using a Markov chain on junction trees
Modeling Network Evolution Using Graph Motifs
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity
Numerical studies of the metamodel fitting and validation processes
Reconstruction of Fractional Brownian Motion Signals From Its Sparse Samples Based on Compressive Sampling
Computing the confidence levels for a root-mean-square test of goodness-of-fit
Fast approximate inference with INLA: the past, the present and the future
Approximating Probability Densities by Iterated Laplace Approximations
Linguistic Relativity and Programming Languages
