Stat-Me
The Use of Unlabeled Data in Predictive Modeling
Some aspects of extreme value theory under serial dependence
Regularized estimation of large-scale gene association networks using graphical Gaussian models
Bayesian Adaptive Lasso
Mixed membership stochastic blockmodels
Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times
Bayesian Thought in Early Modern Detective Stories: Monsieur Lecoq, C. Auguste Dupin and Sherlock Holmes
Summarization and Classification of Non-Poisson Point Processes
Bayesian testing of many hypotheses $times$ many genes: A study of sleep apnea
An Active Set Algorithm to Estimate Parameters in Generalized Linear Models with Ordered Predictors
Fixed Point Iteration for Estimating The Parameters of Extreme Value Distributions
Estimation for a Partial-Linear Single-Index Model
Spatial Analysis of Opportunistic Downlink Relaying in a Two-Hop Cellular System
Sparse covariance estimation in heterogeneous samples
Bayesian semi-parametric forecasting of ultrafine particle number concentration with penalised splines and autoregressive errors
The AI&M Procedure for Learning from Incomplete Data
Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm
LICORS: Light Cone Reconstruction of States for Non-parametric Forecasting of Spatio-Temporal Systems
Stochastic linear programming with a distortion risk constraint
A General Metric for Riemannian Manifold Hamiltonian Monte Carlo
Bayesian Inference for Gaussian Mixed Graph Models
Event-controlled constructions of random fields of maxima with non-max-stable dependence
