The diameter of a stochastic matrix: A new measure for sensitivity
analysis in Bayesian networks

The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks

5 July 2024

Manuele Leonelli

Jim Q. Smith

Sophia K. Wright

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Papers citing "The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks"

7 / 7 papers shown

Title
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks R. Ballester-Ripoll Manuele Leonelli 43 8 0 17 Jun 2022
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package Manuele Leonelli R. Ramanathan R. L. Wilkerson 46 11 0 25 Jul 2021
When do Numbers Really Matter? H. Chan Adnan Darwiche 86 124 0 07 Aug 2014
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models J. Pensar Henrik J. Nyman T. Koski J. Corander 86 52 0 04 Oct 2013
Context-Specific Independence in Bayesian Networks Craig Boutilier N. Friedman M. Goldszmidt D. Koller 201 823 0 13 Feb 2013
On Bayesian Network Approximation by Edge Deletion Arthur Choi H. Chan Adnan Darwiche 68 28 0 04 Jul 2012
Learning Bayesian Networks with the bnlearn R Package M. Scutari BDL 177 1,739 0 26 Aug 2009

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