Stat-Co
Maximum Likelihood Estimation of Nonnegative Trigonometric Sum Models Using a Newton-like Algorithm on Manifolds
A mixture of experts model for rank data with applications in election studies
Nonparametric Bayesian Density Modeling with Gaussian Processes
Multiple Hypothesis Testing in Pattern Discovery
Flexible Multivariate Density Estimation with Marginal Adaptation
Simulation reductions for the Ising model
A cautionary tale on the efficiency of some adaptive Monte Carlo schemes
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
A simple sketching algorithm for entropy estimation
Regeneration and Fixed-Width Analysis of Markov Chain Monte Carlo Algorithms
Precision Measurements of the Cluster Red Sequence using an Error Corrected Gaussian Mixture Model
Message Passing Algorithms for Compressed Sensing
Particle learning of Gaussian process models for sequential design and optimization
Latin hypercube sampling with inequality constraints
High-dimensional Graphical Model Search with gRapHD R Package
On the relevance of the Bayesian approach to Statistics
Efficient Simulation of a Bivariate Exponential Conditionals Distribution
Kernel estimators of asymptotic variance for adaptive Markov chain Monte Carlo
Comments on "Particle Markov chain Monte Carlo" by C. Andrieu, A. Doucet, and R. Hollenstein
Notes on Using Control Variates for Estimation with Reversible MCMC Samplers
A path algorithm for the Fused Lasso Signal Approximator
Population-Based Reversible Jump Markov Chain Monte Carlo
