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| Επεκτάσιμο Δίκτυο Bayes (Robust Bayesian Network)× | Προσεγγιστική Μπεϋζιανή Υπολογιστική× | |
|---|---|---|
| Πεδίο≠ | Μπεϋζιανή Στατιστική | Προσομοίωση |
| Οικογένεια≠ | Bayesian methods | Process / pipeline |
| Έτος προέλευσης≠ | 1991-2000 | 2002 |
| Δημιουργός≠ | Fabio Cozman (credal networks); Peter Walley (imprecise probabilities) | — |
| Τύπος≠ | probabilistic graphical model with set-valued probabilities | Simulation-based Bayesian inference |
| Θεμελιώδης πηγή≠ | Cozman, F. G. (2000). Credal networks. Artificial Intelligence, 120(2), 199-233. DOI ↗ | Beaumont, M.A., Zhang, W. & Balding, D.J. (2002). Approximate Bayesian Computation in Population Genetics. Genetics, 162(4), 2025-2035. DOI ↗ |
| Εναλλακτικές ονομασίες | RBN, credal network, imprecise Bayesian network, sensitivity analysis in Bayesian networks | ABC, likelihood-free inference, simulation-based inference, Yaklaşık Bayesçi Hesaplama (ABC) |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | 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. | Approximate Bayesian Computation (ABC) is a family of simulation-based inference methods that estimate posterior distributions without requiring an analytically tractable likelihood function. Introduced by Beaumont, Zhang and Balding (2002) in the context of population genetics, ABC replaced the intractable likelihood with repeated model simulation and a comparison of summary statistics between simulated and observed data. |
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