𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference

✍ Scribed by Ahmed, S. E

Book ID
121260626
Publisher
American Statistical Association
Year
2008
Tongue
English
Weight
106 KB
Volume
50
Category
Article
ISSN
0040-1706

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Markov Chain Monte Carlo: Stochastic Sim
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference. Dani Gamerman, Chapman & Hall, London, 1997. No. of pages: xiii+245. Price: Β£24.95. ISBN 0-412-81820-5
✍ Elja Arjas πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 49 KB πŸ‘ 2 views

The level of mathematics used is rather variable. The authors state (p. 10) &the expectations are E(xN )" and E(s)" ', without ever de"ning expectation. Matrix notation is used for two relatively short sections on response surface designs (pp. 169}173) and general block designs (pp. 221}240), but no

Advanced Markov Chain Monte Carlo Method
Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Bayesian Inference and Markov Chain Monte Carlo
✍ Liang, Faming; Liu, Chuanhai; Carroll, Raymond J. πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley & Sons, Ltd βš– 683 KB

Bayesian inference is a probabilistic inferential method. In the last two decades, it has become more popular than ever due to affordable computing power and recent advances in Markov chain Monte Carlo (MCMC) methods for approximating high dimensional integrals. Bayesian inference can be traced bac

Simulation || Markov Chain Monte Carlo M
Simulation || Markov Chain Monte Carlo Methods
✍ Ross, Sheldon πŸ“‚ Article πŸ“… 2013 πŸ› Elsevier 🌐 English βš– 221 KB

The 5th edition of Ross’s *Simulation* continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyse