Stat-Co
Analysis of a Splitting Estimator for Rare Event Probabilities in Jackson Networks
An Algorithm for Learning the Essential Graph
Hierarchical Modeling of Abundance in Closed Population Capture-Recapture Models Under Heterogeneity
Damage spreading and coupling in Markov chains
Approximating quantiles in very large datasets
Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC)
A Bregman Extension of quasi-Newton updates I: An Information Geometrical framework
Squeezing the Arimoto-Blahut algorithm for faster convergence
Assessing molecular variability in cancer genomes
Fast normal random number generators on vector processors
Robust Parameter Selection for Parallel Tempering
Exact posterior distributions over the segmentation space and model selection for multiple change-point detection problems
A Hierarchical Bayesian Framework for Constructing Sparsity-inducing Priors
An Algorithm for Unconstrained Quadratically Penalized Convex Optimization
Approximating the marginal likelihood using copula
Using parallel computation to improve Independent Metropolis--Hastings based estimation
Text Data Mining: Theory and Methods
Pooling Design and Bias Correction in DNA Library Screening
An Elegant Method for Generating Multivariate Poisson Random Variable
An Adaptive Sequential Monte Carlo Sampler
A randomized algorithm for principal component analysis
Three months journeying of a Hawaiian monk seal
