Stat-Co
Sparse group lasso and high dimensional multinomial classification
A Multivariate Graphical Stochastic Volatility Model
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
An analysis of the least median of squares regression problem
Bayesian Conditional Monte Carlo Algorithms for Sequential Single and Multi-Object filtering
A Simulated Annealing Approach to Approximate Bayes Computations
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation
A Permutation Approach to Testing Interactions in Many Dimensions
Two Challenges of Stealthy Hypervisors Detection: Time Cheating and Data Fluctuations
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
A Tutorial on Principal Component Analysis with the Accord.NET Framework
A weighted least squares procedure to approximate least absolute deviation estimation in time series with specific reference to infinite variance unit root problems
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
