Stat-Me
Connecting tables with zero-one entries by a subset of a Markov basis
Discrete Temporal Models of Social Networks
Making statistical methods in management research more useful: some suggestions from a case study
A cautionary tale on the efficiency of some adaptive Monte Carlo schemes
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Estimators for Long Range Dependence: An Empirical Study
A nonparametric independence test using random permutations
Regeneration and Fixed-Width Analysis of Markov Chain Monte Carlo Algorithms
Bayesian orthogonal component analysis for sparse representation
Tuning parameter selection for penalized likelihood estimation of inverse covariance matrix
Checking election outcome accuracy Post-election audit sampling
The Utility of Reliability and Survival
Learning networks from high dimensional binary data: An application to genomic instability data
Particle learning of Gaussian process models for sequential design and optimization
Non-asymptotic model selection for linear non least-squares estimation in regression models and inverse problems
Functional Partial Linear Model
Cross-Validation for Unsupervised Learning
On the relevance of the Bayesian approach to Statistics
Efficient Simulation of a Bivariate Exponential Conditionals Distribution
Data-driven calibration of linear estimators with minimal penalties
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping
Distribution Fitting 2. Pearson-Fisher, Kolmogorov-Smirnov, Anderson-Darling, Wilks-Shapiro, Cramer-von-Misses and Jarque-Bera statistics
