Robust Approximate Bayesian Computation
Robust ABC udvider standard Approximate Bayesian Computation (ABC) til at håndtere outliers, model-fejlspecificering og følsomhed over for valg af summary statistics. Ved at erstatte konventionelle afstandsmål med robuste alternativer – såsom sammensatte scores, trimmede statistikker eller syntetiske likelihoods – beskytter den posterior inferens mod at blive forvrænget af atypiske observationer eller en ufuldkommen simulator.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Ruli, E., Sartori, N. & Ventura, L. (2016). Approximate Bayesian computation with composite score functions. Statistics and Computing, 26(3), 679–692. DOI: 10.1007/s11222-015-9551-z ↗
- Frazier, D. T., Drovandi, C. & Nott, D. J. (2020). Robust Approximate Bayesian Inference with Synthetic Likelihood. Journal of Computational and Graphical Statistics, 30(4), 958–976. DOI: 10.1080/10618600.2021.1875839 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Robust Approximate Bayesian Computation. ScholarGate. https://scholargate.app/da/bayesian/robust-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
- Bayesiansk inferens med målefejlBayesiansk↔ compare
- Partikelfilter (sekventiel Monte Carlo)Bayesiansk↔ compare
- Robust Bayesiansk InferensBayesiansk↔ compare
- Robust Bayesiansk InferensBayesiansk↔ compare
- Sekventiel Monte CarloBayesiansk↔ compare
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