Krahasoni metodat

	Rrjeti Bajezian Robust	Inferencë Bajeziane Robuste
Fusha	Statistika bajesiane	Statistika bajesiane
Familja	Bayesian methods	Bayesian methods
Viti i origjinës	1991-2000	1984–1990
Krijuesi	Fabio Cozman (credal networks); Peter Walley (imprecise probabilities)	James O. Berger
Lloji	probabilistic graphical model with set-valued probabilities	Bayesian sensitivity / robustness framework
Burimi themelues	Cozman, F. G. (2000). Credal networks. Artificial Intelligence, 120(2), 199-233.	Berger, J. O. (1990). Robust Bayesian analysis: sensitivity to the prior. Journal of Statistical Planning and Inference, 25(3), 303–328.
Emërtime të tjera	RBN, credal network, imprecise Bayesian network, sensitivity analysis in Bayesian networks	Bayesian sensitivity analysis, prior robustness, epsilon-contamination Bayesian analysis, robust Bayes
Të lidhura	5	6
Përmbledhja	A Robust Bayesian Network extends a classical Bayesian network by replacing each precise conditional probability table with a set of allowable probability distributions — called a credal set. Instead of a single probability for each query, inference returns a range of probabilities, honestly reflecting uncertainty about the model's numeric parameters while preserving the interpretable directed-acyclic-graph structure.	Robust Bayesian inference extends standard Bayesian analysis by replacing a single prior distribution with a class of plausible priors and examining how much the posterior conclusions change across that class. Instead of committing to one prior, the analyst bounds the posterior quantity of interest, revealing whether findings are stable or critically dependent on prior assumptions.