• How vague of multivariate priors
• PPP for model evaluation in Bayesian SEM
• DIC for model comparison in Bayesian SEM
• IRT with guessing
• Dynamic mediation analysis with Sam
• Robust mediation analysis
• Power analysis with Timo & Manuel
• Bayesian exploratory factor analysis using informative priors
• Missing data mediation analysis
• Bayesian differential equations by Johnny, Xin, Laura
• Robust growth curve modeling using Student-t distribution by Johnny, Brian, Laura
• Growth curve modeling with MNAR data by Johnny, Zijun, Xin (?), Manshu (?)
• Bayesian analysis using SAS by Brian, Johnny
• Bayesian growth mixture model with MNAR data by Laura, Johnny, Gitta
• Box-Cox transformation for growth curve models by Peggy, Johnny, Qian
• Box-Cox transformation for a mediation model by Peggy, Johnny, Qian
• Multilevel mediation model by Peggy, Johnny
• MNAR selection models by Johnny & Peggy
• Mediation analysis with missing data through EM
• Daily religious study using multilevel mediation models
• Simulation design
• Applying student t distribution on observed variables or latent variables
• Run EQS from R for data analysis
• The use of auxiliary variables
• Higher order invariance
• Robust SEM with Ke-Hai

Testing growth using non-parametric method

Box-Cox transformation for growth curve models - SEM models

individual probability in mixture model

Box-Cox transformation for a mediation model

Wainer analysis

Tetrachoric and polychoric correlation

The infinite growth mixture model

• http://www.gatsby.ucl.ac.uk/~edward/pub/inf.mix.nips.99.pdf
• http://www2.stats.bris.ac.uk/~peter/papers/MixedEffects.pdf

Chris Winter

• About t distribution

NLSY data

Higer--order invariance

Nonparametric Bayesian

Exploratory data analysis

Using WinBUGS on the Notre Dame clusters

EM for the simple regression

Mediation model maple codes

EM for mediation model

EM for mediation model with means

EM for mediation for monents

bootstrap EM for mediation model

Proc MI

Note on using Visual C++ 2008

BootMedEM Download BootMedEM and Document

Useful things

test winbugs

EM & FIML

<gtd warn=10 due=2> @Proposals p:Bayesian Module d:2009-06-15 Start to write the proposal

@Proposals p:Bayesian Module d:2009-06-25 Finish writing the first draft of the proposal </gtd>

• Quality & Quantity