Statistics
Optimizing an Organized Modularity Measure for Topographic Graph Clustering: a Deterministic Annealing Approach
Mixed Cumulative Distribution Networks
Inference and Optimal Design for Nearest-Neighbour Interaction Models
The Weibull-Geometric distribution
Control Variates for Reversible MCMC Samplers
$L_p$-nested symmetric distributions
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Development and Initial Validation of a Scale to Measure Instructors Attitudes toward Concept-Based Teaching of Introductory Statistics in the Health and Behavioral Sciences
L0+L1+L2 mixed optimization: a geometric approach to seismic imaging and inversion using concepts in topology and semigroup
Approximating quantiles in very large datasets
Risk bounds in linear regression through PAC-Bayesian truncation
The Computational Complexity of Estimating Convergence Time
Stereotype bias: a simple formal model
Collision statistics of clusters: From Poisson model to Poisson mixtures
Group-based Query Learning for rapid diagnosis in time-critical situations
Bayesian inference of a negative quantity from positive measurement results
Comment: The Essential Role of Pair Matching
Importance sampling methods for Bayesian discrimination between embedded models
Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging
Scatter and regularity imply Benfords law... and more
Bill Kruskal and the Committee on National Statistics
Comment: Monitoring Networked Applications With Incremental Quantile Estimation
