Stat-Co
How good are MatLab, Octave and Scilab for Computational Modelling?
Strong oracle optimality of folded concave penalized estimation
Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm
Variational Bayesian Inference with Stochastic Search
Calculating principal eigen-functions of non-negative integral kernels: particle approximations and applications
Model-based clustering via linear cluster-weighted models
Approximation Multivariate Distribution with pair copula Using the Orthonormal Polynomial and Legendre Multiwavelets basis functions
Discussions on Fernhead and Prangle (2012)
A LASSO-Penalized BIC for Mixture Model Selection
Bayesian Latent Variable Modeling of Longitudinal Family Data for Genetic Pleiotropy Studies
Bergm: Bayesian Exponential Random Graphs in R
DBKGrad: An R Package for Mortality Rates Graduation by Fixed and Adaptive Discrete Beta Kernel Techniques
Classification Recouvrante Basee sur les Methodes `a Noyau
Optimal inferential models for a Poisson mean
Efficient learning in ABC algorithms
Excursion and contour uncertainty regions for latent Gaussian models
Large-Flip Importance Sampling
Fast Accelerated Failure Time Modeling for Case-Cohort Data
Maximum Likelihood for Matrices with Rank Constraints
MCMC inference for Markov Jump Processes via the Linear Noise Approximation
Bayesian learning of noisy Markov decision processes
Univariate and data-depth based multivariate control charts using trimmed mean and winsorized standard deviation
