Selected article for: "Markov chain and model fit"
Author: Tang, Biao; Bragazzi, Nicola Luigi; Li, Qian; Tang, Sanyi; Xiao, Yanni; Wu, Jianhong
Title: An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)
  • Document date: 2020_2_11
    • ID: thu861hj_20
    Snippet: We use the Markov Chain Monte Carlo (MCMC) method to fit the model to the data, and adopt an adaptive Metropolis-Hastings (M-H) algorithm to carry out the MCMC procedure. The algorithm is run for 70,000 iterations with a burn-in of the first 50,000 iterations, and the Geweke convergence diagnostic method is employed to assess convergence of chains. The estimation results are given in Table 1 ......
    Document: We use the Markov Chain Monte Carlo (MCMC) method to fit the model to the data, and adopt an adaptive Metropolis-Hastings (M-H) algorithm to carry out the MCMC procedure. The algorithm is run for 70,000 iterations with a burn-in of the first 50,000 iterations, and the Geweke convergence diagnostic method is employed to assess convergence of chains. The estimation results are given in Table 1 .

    Search related documents:
    Co phrase search for related documents
    • diagnostic method and Geweke convergence diagnostic method: 1
    • diagnostic method and MCMC Markov Chain Monte Carlo method: 1
    • diagnostic method and model fit: 1
    • estimation result and model fit: 1, 2, 3
    • Geweke convergence and MCMC Markov Chain Monte Carlo method: 1
    • Geweke convergence and model fit: 1
    • Geweke convergence diagnostic method and MCMC Markov Chain Monte Carlo method: 1
    • Geweke convergence diagnostic method and model fit: 1
    • MCMC Markov Chain Monte Carlo method and model fit: 1