Stat-Th
A betting interpretation for probabilities and Dempster-Shafer degrees of belief
Reading Dependencies from Covariance Graphs
Risk Analysis in Robust Control -- Making the Case for Probabilistic Robust Control
Spectral clustering and the high-dimensional stochastic blockmodel
Semantic distillation: a method for clustering objects by their contextual specificity
Chain graph models of multivariate regression type for categorical data
Test Martingales, Bayes Factors and $p$-Values
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing
Approximate Bayesian Computation: a nonparametric perspective
Applications of Universal Source Coding to Statistical Analysis of Time Series
A New Framework of Multistage Hypothesis Tests
Tail Behavior of Sphere-Decoding Complexity in Random Lattices
Kernel Partial Least Squares is Universally Consistent
Can the Adaptive Metropolis Algorithm Collapse Without the Covariance Lower Bound?
Dimension reduction and variable selection in case control studies via regularized likelihood optimization
Sparse Conformal Predictors
Time-varying Coefficients Estimation in Differential Equation Models with Noisy Time-varying Covariates
Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes
Support vector machine for functional data classification
Communities in Networks
Dimension reduction in representation of the data
Holonomic Gradient Descent and its Application to Fisher-Bingham Integral
