Selected article for: "Bayesian Markov chain and Markov chain"

Author: Samuel Soubeyrand; Melina Ribaud; Virgile Baudrot; Denis Allard; Denys Pommeret; Lionel Roques
Title: The current COVID-19 wave will likely be mitigated in the second-line European countries
  • Document date: 2020_4_22
  • ID: dh3cgd48_29
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10. 1101 on the quasi-Newton algorithm that we used for maximizing the penalized weighted likelihood. Alternatively, parameter estimation could be carried out using the Expectation Maximization (EM) algorithm (McLachlan and Peel, 2000) or adopting a Bayesian framework, with Markov Chain Monte Carlo (MCMC) techniques (Robert and Casella, 2013) ......
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10. 1101 on the quasi-Newton algorithm that we used for maximizing the penalized weighted likelihood. Alternatively, parameter estimation could be carried out using the Expectation Maximization (EM) algorithm (McLachlan and Peel, 2000) or adopting a Bayesian framework, with Markov Chain Monte Carlo (MCMC) techniques (Robert and Casella, 2013) .

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