Stat-Co
Bayesian inference for logistic models using Polya-Gamma latent variables
Testing the significance of assuming homogeneity in contingency-tables/cross-tabulations
Markov Chains on Orbits of Permutation Groups
A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices
Extending Monte Carlo Methods to Factor Graphs with Negative and Complex Factors
Estimating the Static Parameters in Linear Gaussian Multiple Target Tracking Models
Online Discrimination of Nonlinear Dynamics with Switching Differential Equations
Adaptive Markov Chain Monte Carlo for Auxiliary Variable Method and Its Application to Parallel Tempering
Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data
Forecasting with Historical Data or Process Knowledge under Misspecification: A Comparison
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure
Factorial graphical lasso for dynamic networks
Uniform random generation of large acyclic digraphs
Computational aspects of Bayesian spectral density estimation
Linear Latent Variable Models: The lava-package
Adaptive Gaussian Mixture Filter Based on Statistical Linearization
On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler
Parallel MCMC with Generalized Elliptical Slice Sampling
Approximate Bayesian Computation via Regression Density Estimation
Static Parameter Estimation for ABC Approximations of Hidden Markov Models
A Plea for Neutral Comparison Studies in Computational Sciences
