Sequential Monte Carlo Methods in Practice

Sequential Monte Carlo Methods in Practice
Author :
Publisher : Springer Science & Business Media
Total Pages : 590
Release :
ISBN-10 : 9781475734379
ISBN-13 : 1475734379
Rating : 4/5 (79 Downloads)

Book Synopsis Sequential Monte Carlo Methods in Practice by : Arnaud Doucet

Download or read book Sequential Monte Carlo Methods in Practice written by Arnaud Doucet and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard problems that were previously intractable. This book presents the first comprehensive treatment of these techniques.


Sequential Monte Carlo Methods in Practice Related Books

Sequential Monte Carlo Methods in Practice
Language: en
Pages: 590
Authors: Arnaud Doucet
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard
Sequential Monte Carlo Methods in Practice
Language: en
Pages: 624
Authors: Arnaud Doucet
Categories: Mathematics
Type: BOOK - Published: 2001-06-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard
Sequential Monte Carlo Methods in Practice
Language: en
Pages: 582
Authors: Arnaud Doucet
Categories: Mathematics
Type: BOOK - Published: 2012-11-30 - Publisher: Springer

DOWNLOAD EBOOK

Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard
Monte Carlo Methods in Bayesian Computation
Language: en
Pages: 399
Authors: Ming-Hui Chen
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Dealing with methods for sampling from posterior distributions and how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples
Introducing Monte Carlo Methods with R
Language: en
Pages: 297
Authors: Christian Robert
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique