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pro vyhledávání: '"Augusto de Souza, Daniel"'
Autor:
Bressan, Rafael1 rfbressan@gmail.com, Augusto de Souza, Daniel2 desouza.esag@gmail.com, de Amarante, Adriano2 diamarante0@gmail.com
Publikováno v:
Revista Brasileira de Economia de Empresas / Brazilian Journal of Business Economics. 2021, Vol. 21 Issue 1, p65-86. 22p.
Embarrassingly parallel Markov Chain Monte Carlo (MCMC) exploits parallel computing to scale Bayesian inference to large datasets by using a two-step approach. First, MCMC is run in parallel on (sub)posteriors defined on data partitions. Then, a serv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______661::10d145fa64c0c0233af986749271c2d6
https://aaltodoc.aalto.fi/handle/123456789/117220
https://aaltodoc.aalto.fi/handle/123456789/117220