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Introducing Monte Carlo Methods with R (Use R!) by Christian Robert, George Casella (auth.) is a nonfiction available to read on EtoBox.

What is Introducing Monte Carlo Methods with R (Use R!) about?

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing Monte Carlo Methods with R 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. While this book constitutes a comprehensive treatment of simulation methods, the theoretical justification of those methods has been considerably reduced, compared with Robert and Casella (2004). Similarly, the more exploratory and less stable solutions are not covered here. This book does not require a preliminary exposure to the R programming language or to Monte Carlo methods, nor an advanced mathematical background. While many examples are set within a Bayesian framework, advanced expertise in Bayesian statistics is not required. The book covers basic random generation algorithms, Monte Carlo techniques

Who reads Introducing Monte Carlo Methods with R (Use R!)?

Author

Christian Robert, George Casella (auth.)

Publisher

Springer-Verlag New York

Published

2010

Language

EN

ISBN

9781280391224

Category

nonfiction

Subjects

Mathematics, Engineering, Computer Science