Sensitivity analysis of Bayesian networks to parameters of the conditional probability model using a Beta regression approach

Author:

Rohmer Jeremy,Gehl Pierre

Funder

European Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference57 articles.

1. Model selection criteria in beta regression with varying dispersion;Bayer;Communications in Statistics-Simulation and Computation,2017

2. A comparison of methods for discretizing continuous variables in Bayesian networks;Beuzen;Environmental Modelling & Software,2018

3. Boosting algorithms: Regularization, prediction and model fitting (with discussion);Bühlmann;Statistical Science,2007

4. Sensitivity analysis in discrete bayesian networks;Castillo;IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans,1997

5. Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique;Castillo;Reliability Engineering & System,2003

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