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Book Categories |
Preface | ||
List of Contributors | ||
1 | Markov Chain Monte Carlo Methods | 1 |
2 | Convergence Control of MCMC Algorithms | 27 |
3 | Linking Discrete and Continuous Chains | 47 |
4 | Valid Discretization via Renewal Theory | 67 |
5 | Control by the Central Limit Theorem | 99 |
6 | Convergence Assessment in Latent Variable Models: DNA Applications | 127 |
7 | Convergence Assessment in Latent Variable Models: Application to the Longitudinal Modelling of a Marker of HIV Progression | 147 |
8 | Estimation of Exponential Mixtures | 161 |
References | 175 | |
Author Index | 185 | |
Subject Index | 189 |
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Add Discretization and MCMC Convergence Assessment, Vol. 135, This monograph proposes several approaches to convergence monitoring for MCMC algorithms which are centered on the theme of discrete Markov chains. After a short introduction to MCMC methods, including recent developments like perfect simulation and Lange, Discretization and MCMC Convergence Assessment, Vol. 135 to the inventory that you are selling on WonderClubX
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Add Discretization and MCMC Convergence Assessment, Vol. 135, This monograph proposes several approaches to convergence monitoring for MCMC algorithms which are centered on the theme of discrete Markov chains. After a short introduction to MCMC methods, including recent developments like perfect simulation and Lange, Discretization and MCMC Convergence Assessment, Vol. 135 to your collection on WonderClub |