I'm looking for some good introductory resources and examples for Monte Carlo Simulations done in R both to brush up on it and so that I can help walk someone else through how to develop them.
Chapter 26 of Introduction to Data Science: Data Analysis and Prediction Algorithms with R by Rafael A. Irizarry, a biostatistican who teaches a great "what ever graduate student needs to know to do numeric research" HarvardX course
1 Like
I think the book Introduction to probability simulation and Gibbs sampling with R may suit. It is to me a pretty good book for going into simulation, and has a full chapter on Monte Carlo integration.
cheers
1 Like
You may also take a look at this:
2 Likes
This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.
If you have a query related to it or one of the replies, start a new topic and refer back with a link.