Post Profile






Reference on longitudinal models?

Antonio Ramos writes: The book with Hill has very little on longitudinal models. So do you recommended any reference to complement your book on covariance structures typical from these models, such as AR(1), Antedependence, Factor Analytic, etc? I am very much interest in BUGS code for these basic models as well as how to extend [...]
read more

share

Related Posts


The scaled inverse Wishart prior distribution for a covariance matrix in a hierarchical model

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science

Since we’re talking about the scaled inverse Wishart... here’s a recent message from Chris Chatham: I have been reading your book on Bayesian Hierarchical/Multilevel Modeling but have been struggling a bit with deciding whether to m...

Misunderstanding analysis of covariance

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science

Jeremy Miles writes: Are you familiar with Miller and Chapman’s (2001) article: Misunderstanding Analysis of Covariance saying that ANCOVA (and therefore, I suppose regression) should not be used when groups differ on a covariate. I...

Visualizing Distributions of Covariance Matrices

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science

Since we’ve been discussing prior distributions on covariance matrices, I will recommend this recent article (coauthored with Tomoki Tokuda, Ben Goodrich, Iven Van Mechelen, and Francis Tuerlinckx) on their visualization: We present...

Ernest Alexander Spring/Summer 2015 Look Book

Fashion / Men's Fashion : The Fashionisto

Ernest Alexander showcases its spring-summer 2015 men’s fashions with a look book featuring Red Model Management’s Daut Berisha photographed by Eric Ryan Anderson. Complemented by shoes from Tretorn, Daut is front and center in char...

References (with code) for Bayesian hierarchical (multilevel) modeling and structural equation modeling

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science

A student writes: I am new to Bayesian methods. While I am reading your book, I have some questions for you. I am interested in doing Bayesian hierarchical (multi-level) linear regression (e.g., random-intercept model) and Bayesian ...

Comments



Copyright © 2015 Regator, LLC