Nimble Demos

Demos for the NIMBLE project.

Table of contents

NIMBLE basics

Basic mcmc: Nimble basic mcmc

Build a model: Nimble build a model

Customized mcmc: Nimble customizing mcmc

Linear predictors: linear predictors

Reversible Jump: Nimble reversible jump (Writing a custom sampler)

Simulation from model: simulation from model

Algorithms

MLE: MLE

RJMCMC variable selection: RJMCMC example

pump MCEM: pump MCEM (MCEM)

Models

Car: car

Ecology example: Ecology example

Gaussian process: gaussian process

Intro BNP: intro BNP

Item Response Theory Models

Logistic regression: Nimble logistic regression

Stochastic volatility: Stochastic volatility

Zero inflated poisson: Zero inflated poisson