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Bayesian inference with Stan: A tutorial on adding custom distributions
When evaluating cognitive models based on fits to observed data (or, really, any model that has free parameters), parameter estimation is critically important. Traditional techniques like hill climbing by minimizing or maximizing a fit statistic often result in point estimates. Bayesian approaches i...
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| Pubblicato in: | Behav Res Methods |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5149118/ https://ncbi.nlm.nih.gov/pubmed/27287444 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13428-016-0746-9 |
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