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Programming with Hierarchical Statistical Models: An Intro to the BUGS-compatible NIMBLE system

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When & Where
Date: 
Fri, April 15, 2016 - 2:00 PM to 4:00 PM
Location: 
D-Lab: Convening Room (356 Barrows Hall)
Description
Type: 
Workshop

This tutorial will introduce attendees to the NIMBLE system for programming with hierarchical models in R. The tutorial will first show how to specify a hierarchical statistical model using BUGS syntax and fit that model using MCMC. Attendees will learn how to customize the MCMC for better performance and how to specify one's own statistical distributions and functions for use within the BUGS syntax. Next the tutorial will demonstrate how to use other non-MCMC algorithms to fit and evaluate models. Finally, the tutorial will show how to write algorithms for use with hierarchical models.

Instructor: Chris Paciorek

Co-Instructors:Daniel Turek, Perry de Valpine

Prerequisite: Familiarity with R, hierarchical statistical models/Bayesian statistics, and basic understanding of Markov chain Monte Carlo (MCMC).

Keyword: 
Quantitative Analysis, R, Simulating and Modeling
Details
Training Host: 
D-Lab
D-lab Facilitator: 
Patty Frontiera
Format Detail: 
Mix of lecture and hands on exercises
Participant Technology Requirement: 
Laptop computer with R installed, and a C++ compiler. Also download and install the NIMBLE package from http://r-nimble.org/download.
Register