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बहुस्तरीय सन्निकट बायेसियन संगणना×बहुस्तरीय बायेसियन अनुमान (Multilevel Bayesian Inference)×
क्षेत्रबायेसियनबायेसियन
परिवारBayesian methodsBayesian methods
उद्भव वर्ष2000s–2010s1980s–2000s
प्रवर्तकExtension of ABC (Beaumont et al., 2002) to multilevel/hierarchical settings; developed across multiple authors in the 2010sGelman, Hill, Raudenbush, Bryk
प्रकारSimulation-based Bayesian inferenceBayesian hierarchical model
मौलिक स्रोतBeaumont, M. A., Zhang, W., & Balding, D. J. (2002). Approximate Bayesian computation in population genetics. Genetics, 162(4), 2025–2035. DOI ↗Gelman, A., & Hill, J. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press. ISBN: 978-0521686891
उपनामmultilevel ABC, hierarchical ABC, multi-level ABC, ABC for hierarchical modelsBayesian multilevel model, Bayesian hierarchical model, Bayesian mixed-effects model, Bayesian random-effects model
संबंधित66
सारांशMultilevel Approximate Bayesian Computation (multilevel ABC) extends simulation-based Bayesian inference to hierarchically structured data. When the likelihood is intractable and observations are nested within groups, it replaces direct likelihood evaluation with simulations at each level of the hierarchy, accepting parameter draws whose simulated summary statistics are close to the observed ones.Multilevel Bayesian inference combines Bayesian probability with hierarchical data structures, treating group-level parameters as drawn from a common population distribution. It simultaneously estimates unit-level effects and the hyperparameters governing their variation, propagating full uncertainty through every level of the hierarchy via posterior sampling.
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ScholarGateविधियों की तुलना करें: Multilevel Approximate Bayesian Computation · Multilevel Bayesian Inference. 2026-06-17 को यहाँ से प्राप्त https://scholargate.app/hi/compare