useR

Tutorial: Statistical Analysis of Computer Models using R


Rui Paulo , ISEG, Technical University of Lisbon, Portugal (rui@iseg.utl.pt)
Jesús Palomo , Universidad Rey Juan Carlos, Spain (jesus.palomo@urjc.es)

Overview

A 'computer model' is a computer implementation of a complex mathematical model of a real phenomenon. The purpose of building such model is typically to be able to study the phenomenon through computer, rather than physical, experimentation, and that raises some questions that are inherently statistical. The present tutorial introduces statistical methodology, which is implemented in an R package called 'SAVE', designed to address the problems of emulation, calibration and validation of computer models.

Goals

Outline

The plan for the tutorial is to start by describing the methodology (for the most part contained in Bayarri et al. 2007, Technometrics), and to simultaneously discuss the contents of the 'SAVE' package. We will then provide hands-on experience on the package with the aid of real examples. Attendees are encouraged to bring their own problems to the tutorial. The methodology is Bayesian, so some familiarity with that approach to Statistics is recommended.

Prerequisites

The methodology is Bayesian, so some familiarity with that approach to Statistics is recommended. Familiarity with the terminology of computer models is also recommended: see Bayarri et al. 2007, Technometrics, and references therein.

Intended Audience

Workshop Materials

The SAVE package is available from CRAN:
http://cran.r-project.org/web/packages/SAVE/index.html.

Related Links

http://cran.r-project.org/web/packages/SAVE/index.html.