A Bayesian Take on Gaussian Process Networks

20 June 2023

Papers citing "A Bayesian Take on Gaussian Process Networks"

6 / 6 papers shown

Title
Graph Agnostic Causal Bayesian Optimisation Sumantrak Mukherjee Mengyan Zhang Seth Flaxman Sebastian Vollmer CML 33 0 0 05 Nov 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 41 1 0 22 Feb 2024
Bayesian Causal Inference with Gaussian Process Networks Enrico Giudice Jack Kuipers G. Moffa 27 1 0 01 Feb 2024
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 109 195 0 05 May 2021
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG Polina Suter Jack Kuipers G. Moffa N. Beerenwinkel 48 39 0 02 May 2021
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 164 2,572 0 28 Mar 2008