This R-package (version: 0.1.1) introduces the MrDAG model (Zuber et al., 2025), a Bayesian two-sample summary-level Mendelian randomization (MR) method which explicitly models dependency relations ...

This article considers the problem to estimate a graphical model corresponding to an autoregressive moving-average (ARMA) Gaussian stochastic process. We propose a new maximum entropy covariance and ...

, Brani Vidakovic, Bayesian Inference with Wavelets: Density Estimation, Journal of Computational and Graphical Statistics, Vol. 7, No. 4 (Dec., 1998), pp. 456-468 ...

Daniel Taylor-Rodriguez, Andrew Womack, Nikolay Bliznyuk, Bayesian Variable Selection on Model Spaces Constrained by Heredity Conditions, Journal of Computational and Graphical Statistics, Vol. 25, No ...

Hill, J.L. (2011) Bayesian Nonparametric Modeling for Causal Inference. Journal of Computational and Graphical Statistics, 20, 217-240. Login. ... This paper advances a non-parametric autoregressive ...

Bow tie diagrams have become popular methods in risk analysis and safety management. This tool describes graphically, in the same scheme, the whole scenario of an identified risk and its respective ...