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Bayesian Computation and Model Selection Without Likelihoods
Until recently, the use of Bayesian inference was limited to a few cases because for many realistic probability models the likelihood function cannot be calculated analytically. The situation changed with the advent of likelihood-free inference algorithms, often subsumed under the term approximate B...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Genetics Society of America
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2815920/ https://ncbi.nlm.nih.gov/pubmed/19786619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.109.109058 |
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