It takes the average reader 4 hours to read Markov Chain Monte Carlo by W S Kendall
Assuming a reading speed of 250 words per minute. Learn more
Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary program at the Institute for Mathematical Sciences, Singapore, which exploited the exciting ways in which MCMC spreads across different disciplines. Contents:Introduction to Markov Chain Monte Carlo Simulations and Their Statistical Analysis (B A Berg)An Introduction to Monte Carlo Methods in Statistical Physics (D P Landau)Notes on Perfect Simulation (W S Kendall)Sequential Monte Carlo Methods and Their Applications (R Chen)MCMC in the Analysis of Genetic Data on Pedigrees (E A Thompson) Readership: Academic researchers in physics, statistics and bioinformatics. Keywords:Markov Chain Monte Carlo;Simulation Physics;Genetics;Perfect Simulation;Sequential Monte CarloKey Features:Exposition at graduate student level forms an excellent introduction for beginning PhD studentsContains descriptions of the latest simulation physics techniques in MCMCPresents a survey of perfect simulation methodsProvides a careful treatment of sequential methodsIncludes a case study of MCMC applied in genetics
Markov Chain Monte Carlo by W S Kendall is 240 pages long, and a total of 60,000 words.
This makes it 81% the length of the average book. It also has 73% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 27 minutes to read Markov Chain Monte Carlo aloud.
Markov Chain Monte Carlo is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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