Math-St
Trek separation for Gaussian graphical models
Some Proofs on Statistical Magnitudes for Continuous Phenomena
Sequential multiple hypothesis testing in presence of control variables
Accuracy and Decision Time for Sequential Decision Aggregation
Confidence Regions for Means of Random Sets using Oriented Distance Functions
Estimating the Parameters of Binomial and Poisson Distributions via Multistage Sampling
Simultaneous confidence bands for nonparametric regression with functional data
A Theory of Truncated Inverse Sampling
Statistical Learning Theory: Models, Concepts, and Results
The Optimal Unbiased Value Estimator and its Relation to LSTD, TD and MC
Asymptotic near-efficiency of the Gibbs-energy (GE) and empirical-variance estimating functions for fitting Mat{e}rn models -- II: Accounting for measurement errors via conditional GE mean
Maximum Entropy Estimation for Survey sampling
Structure Variability in Bayesian Networks
Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets
A random-projection based procedure to test if a stationary process is Gaussian
A Markovian event-based framework for stochastic spiking neural networks
On the usefulness of Meyer wavelets for deconvolution and density estimation
Cover Time and Broadcast Time
Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution
Goodness of fit tests for weighted histograms
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
