MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo, Hanada,

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Características del artículo

Estado
En buen estado: Libro que se ha leído pero que está en buen estado. Daños mínimos en la tapa, ...
ISBN
9789811927140
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Product Identifiers

Publisher
Springer
ISBN-10
9811927146
ISBN-13
9789811927140
eBay Product ID (ePID)
23057270988

Product Key Features

Number of Pages
IX, 194 Pages
Language
English
Publication Name
Mcmc from Scratch : a Practical Introduction to Markov Chain Monte Carlo
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, Life Sciences / Biophysics, Probability & Statistics / General, Physics / Nuclear
Publication Year
2022
Type
Textbook
Subject Area
Mathematics, Computers, Science
Author
So Matsuura, Masanori Hanada
Format
Hardcover

Dimensions

Item Weight
18.1 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.233
Table Of Content
Chapter 1: Introduction.- Chapter 2: What is the Monte Carlo method?.- Chapter 3: General Aspects of Markov Chain Monte Carlo.- Chapter 4: Metropolis Algorithm.- Chapter 5: Other Useful Algorithms.- Chapter 6: Applications of Markov Chain Monte Carlo.
Synopsis
This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCMC is a powerful technique that can be used to integrate complicated functions or to handle complicated probability distributions. MCMC is frequently used in diverse fields where statistical methods are important - e.g. Bayesian statistics, quantum physics, machine learning, computer science, computational biology, and mathematical economics. This book aims to equip readers with a sound understanding of MCMC and enable them to write simulation codes by themselves. The content consists of six chapters. Following Chap. 2, which introduces readers to the Monte Carlo algorithm and highlights the advantages of MCMC, Chap. 3 presents the general aspects of MCMC. Chap. 4 illustrates the essence of MCMC through the simple example of the Metropolis algorithm. In turn, Chap. 5explains the HMC algorithm, Gibbs sampling algorithm and Metropolis-Hastings algorithm, discussing their pros, cons and pitfalls. Lastly, Chap. 6 presents several applications of MCMC. Including a wealth of examples and exercises with solutions, as well as sample codes and further math topics in the Appendix, this book offers a valuable asset for students and beginners in various fields.
LC Classification Number
QA76.9.A43

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    Overall, it went well. Good communication. I wanted the book to be shipped in a box, because the value and scarcity of the volume I purchased deserved it, however, the company is too large and I was informed the book would be shipped in a plastic mailer. Somehow it didn’t arrive very damaged, a little bump, but for the price I can’t complain. Over all I am satisfied, but if you’re a book collector, as I am, you may want to find another seller.
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    This company has been, in my experience, a mixed bag. This title was NOT worth the price because it came with highlighting, ink underlineing & writing in the margins...not the quality that they advertised. I have on other occasions gotten books in great condition, however, that were listed in less than the condition advertised so it goes both ways...but I'd much prefer a company that delivers exactly what they advertise. I guess good help is hard to find. The book was well packaged & came fast.