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Correctness of Sequential Monte Carlo Inference for Probabilistic Programming Languages

Probabilistic programming is an approach to reasoning under uncertainty by encoding inference problems as programs. In order to solve these inference problems, probabilistic programming languages (PPLs) employ different inference algorithms, such as sequential Monte Carlo (SMC), Markov chain Monte C...

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Detalhes bibliográficos
Publicado no:Programming Languages and Systems
Main Authors: Lundén, Daniel, Borgström, Johannes, Broman, David
Formato: Artigo
Idioma:Inglês
Publicado em: 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7984533/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-72019-3_15
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