Introducing Monte Carlo Methods with R Front Cover

Introducing Monte Carlo Methods with R

  • Length: 284 pages
  • Edition: 2010
  • Publisher:
  • Publication Date: 2009-12-10
  • ISBN-10: 1441915753
  • ISBN-13: 9781441915757
  • Sales Rank: #283509 (See Top 100 Books)
Description

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 and providing the output for better understanding and comparison.

Table of Contents

Chapter 1 Basic R Programming
Chapter 2 Random Variable Generation
Chapter 3 Monte Carlo Integration
Chapter 4 Controlling and Accelerating Convergence
Chapter 5 Monte Carlo Optimization
Chapter 6 Metropolis–Hastings Algorithms
Chapter 7 Gibbs Samplers
Chapter 8 Convergence Monitoring and Adaptation for MCMC Algorithms

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