Stat-Co
Assessing Excel VBA Suitability for Monte Carlo Simulation
Clustering and Classification via Cluster-Weighted Factor Analyzers
Composite likelihood estimation of sparse Gaussian graphical models with symmetry
Data for Development: the D4D Challenge on Mobile Phone Data
Fitting directed acyclic graphs with latent nodes as finite mixtures models, with application to education transmission
Mixed Beta Regression: A Bayesian Perspective
On Classification Issues within Ensemble-Based Complex System Simulation Tasks
On EM algorithms and their proximal generalizations
On the Convergence Rates of Some Adaptive Markov Chain Monte Carlo Algorithms
Optimizing Threshold - Schedules for Approximate Bayesian Computation Sequential Monte Carlo Samplers: Applications to Molecular Systems
Penalty Constraints and Kernelization of M-Estimation Based Fuzzy C-Means
Stochastic particle packing with specified granulometry and porosity
Toward Practical N2 Monte Carlo: the Marginal Particle Filter
Trees Assembling Mann Whitney Approach for Detecting Genome-wide Joint Association among Low Marginal Effect loci
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Coupling models of cattle and farms with models of badgers for predicting the dynamics of bovine tuberculosis (TB)
Error bounds for Metropolis-Hastings algorithms applied to perturbations of Gaussian measures in high dimensions
Evolutionary Algorithms: Concepts, Designs, and Applications in Bioinformatics: Evolutionary Algorithms for Bioinformatics
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
Laplace approximation for logistic Gaussian process density estimation and regression
On automating Markov chain Monte Carlo for a class of spatial models
