A novel divergence for sensitivity analysis in Gaussian Bayesian networks
From MaRDI portal
Publication:1678411
DOI10.1016/j.ijar.2017.07.002zbMath1419.68183OpenAlexW2736278871MaRDI QIDQ1678411
Mingmin Zhu, Jiewei Jiang, San-Yang Liu
Publication date: 17 November 2017
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2017.07.002
Bayesian inference (62F15) Reasoning under uncertainty in the context of artificial intelligence (68T37) Statistical aspects of information-theoretic topics (62B10)
Related Items (max. 100)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Sensitivity to hyperprior parameters in Gaussian Bayesian networks
- Sensitivity to evidence in Gaussian Bayesian networks using mutual information
- Extreme inaccuracies in Gaussian Bayesian networks
- Evidence and scenario sensitivities in naive Bayesian classifiers
- Properties of sensitivity analysis of Bayesian belief networks
- Structure learning in Bayesian networks using regular vines
- A distance measure for bounding probabilistic belief change
- Bayesian network modeling of the consensus between experts: an application to neuron classification
- Efficient learning of Bayesian networks with bounded tree-width
- Co-variation for sensitivity analysis in Bayesian networks: properties, consequences and alternatives
- The effect of block parameter perturbations in Gaussian Bayesian networks: sensitivity and robustness
- Assessing the effect of kurtosis deviations from Gaussianity on conditional distributions
- A Riemannian framework for tensor computing
- Sensitivity Analysis in Gaussian Bayesian Networks Using a Divergence Measure
- Matrix Analysis
This page was built for publication: A novel divergence for sensitivity analysis in Gaussian Bayesian networks