Hierarkisk Approksimativ Bayesiansk Beregning
Hierarkisk ABC er en likelihood-fri Bayesiansk inferensmetode designet til multilevel datastrukturer, hvor individuelle parametre selv er trukket fra en populationsfordeling. Ved at kombinere simulationsbaseret afvisningssampling med hierarkisk pooling, genfinder den både posteriorfordelinger inden for grupper og mellem grupper uden at kræve en håndterbar likelihood-funktion.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Toni, T. & Stumpf, M. P. H. (2010). Simulation-based model selection for dynamical systems in systems and population biology. Bioinformatics, 26(1), 104–110. DOI: 10.1093/bioinformatics/btp619 ↗
- Wilkinson, R. D. (2013). Approximate Bayesian computation (ABC) gives exact results under the assumption of model error. Statistical Applications in Genetics and Molecular Biology, 12(2), 129–141. DOI: 10.1515/sagmb-2013-0010 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Hierarchical Approximate Bayesian Computation. ScholarGate. https://scholargate.app/da/bayesian/hierarchical-approximate-bayesian-computation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Approksimativ Bayesiansk BeregningSimulering↔ compare
- Hierarkisk Bayesiansk InferensBayesiansk↔ compare
- Hierarkisk Markov Chain Monte CarloBayesiansk↔ compare
- Sekventiel Monte CarloBayesiansk↔ compare
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