Stat-Me
Bayesian versus frequentist upper limits
Adapting to Non-stationarity with Growing Expert Ensembles
Heavy-Tailed Processes for Selective Shrinkage
Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Topology Discovery of Sparse Random Graphs With Few Participants
The EM Algorithm and the Rise of Computational Biology
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Models for transcript quantification from RNA-Seq
A Probabilistic Perspective on Gaussian Filtering and Smoothing
Non-Gaussian Quasi Maximum Likelihood Estimation of GARCH Models
A Statistical Social Network Model for Consumption Data in Food Webs
Graph-Valued Regression
Blind Minimax Estimation
On the equivalence of the microcanonical and the canonical ensembles: a geometrical approach
A note on calculating autocovariances of periodic ARMA models
A hierarchical Dirichlet process mixture model for haplotype reconstruction from multi-population data
Modelisations prospectives de loccupation du sol. Le cas dune montagne mediterraneenne
Sparse estimation via nonconcave penalized likelihood in a factor analysis model
Active Bayesian Optimization: Minimizing Minimizer Entropy
Set-valued dynamic treatment regimes for competing outcomes
$Q$- and $A$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes
Global Sensitivity Analysis of Stochastic Computer Models with joint metamodels
