Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vinícius D. Mayrink"'
Publikováno v:
Journal of Statistical Software, Vol 100, Pp 1-28 (2021)
In this study, we present a new module built for users interested in a programming language similar to BUGS to fit a Bayesian model based on the piecewise exponential (PE) distribution. The module is an extension to the open-source program JAGS by wh
Externí odkaz:
https://doaj.org/article/edfb01dafc33468ca164b1547a0af2fd
Publikováno v:
Journal of Statistical Software, Vol 90, Iss 1, Pp 1-22 (2019)
The development of simulation-based methods, such as Markov chain Monte Carlo (MCMC), has contributed to an increased interest in the Bayesian framework as an alternative to deal with factor models. Many studies have used Bayesian factor analysis to
Externí odkaz:
https://doaj.org/article/3f2114211cb947e1be09588455fa2413
Publikováno v:
Australian & New Zealand Journal of Statistics. 63:685-706
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8671a70788a920141ec65a3860a071f
https://doi.org/10.1111/anzs.12354
https://doi.org/10.1111/anzs.12354
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technol
