Stat-Co
Estimating Nuisance Parameters in Inverse Problems
Geometric Ergodicity & Scanning Strategies For Two-Component Gibbs Samplers
Gibbs Sampling in Factorized Continuous-Time Markov Processes
MCMC using Hamiltonian dynamics
Reversible jump MCMC for nonparametric drift estimation for diffusion processes
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
Inference in Polytrees with Sets of Probabilities
Dependence Properties of Multivariate Max-Stable Distributions
Parametric and Nonparametric Tests for Speckled Imagery
Evolutionary Inference via the Poisson Indel Process
Better subset regression
Bayesian model selection for exponential random graph models
Tutorial on Exact Belief Propagation in Bayesian Networks: from Messages to Algorithms
Nonconcave Penalized Spline
Non-Parametric Methods Applied to the N-Sample Series Comparison
Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties
Nonsingular subsampling for S-estimators with categorical predictors
Importance Sampling via Variational Optimization
Automorphism Groups of Graphical Models and Lifted Variational Inference
A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models
Decentralized, Adaptive, Look-Ahead Particle Filtering
Sparse group lasso and high dimensional multinomial classification
