Stat-Me
DBKGrad: An R Package for Mortality Rates Graduation by Fixed and Adaptive Discrete Beta Kernel Techniques
Breakdown of statistical inference from some random experiments
Classification Recouvrante Basee sur les Methodes `a Noyau
Optimal inferential models for a Poisson mean
On the relation between frequentist and Bayesian approaches for the case of Poisson statistics
Excursion and contour uncertainty regions for latent Gaussian models
A Bayesian Approach to Constraint Based Causal Inference
A novel model and estimation method for the individual random component of earthquake ground-motion relations
Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques
Identifying Conditional Causal Effects
Polynomial Constraints in Causal Bayesian Networks
Statistics, Causality and Bells Theorem
MCMC inference for Markov Jump Processes via the Linear Noise Approximation
Univariate and data-depth based multivariate control charts using trimmed mean and winsorized standard deviation
Bayesian inference for logistic models using Polya-Gamma latent variables
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables
Testing the significance of assuming homogeneity in contingency-tables/cross-tabulations
A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices
Estimating the Static Parameters in Linear Gaussian Multiple Target Tracking Models
On Measurement Bias in Causal Inference
Towards a theory of statistical tree-shape analysis
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables
