I did find one of the files now but not the umncolors.sty. I hope this helps.

https://www.dropbox.com/s/yw6cyo2b5zxq2va/beamerthemeUMN.sty?dl=0

]]>I would look at a book by Andrew Gelman or Brad Carlin regarding Bayesian analysis. Regarding a strategy for selecting priors: I would say, in general, you want to minimize their influence unless of course you are doing something like a meta-analysis or collating multiple sources. I think people tend to favor flat or non-informative priors. ]]>

Thanks for the message. Unfortunately, I no longer have that theme. However, the color scheme that I used was based on the University of Minnesota’s color. You can find a link to their pdf here. ]]>

thank you, nice work

Giulio

i’m MSc candidate of biostatistics and my thesis is about application of generalized bayesian structural equation in educational-health related data(using R and winbugs);

i have one general question on bayesian analysis:

what is the strategy of selecting prior distribution?(+say me some good reference about it)

also i cant find your email adress;i have some special question about my real data)

thanks ]]>

i want to specify a new distribution for thresholds (inverse normal distribution),how can i do that in SEM model and how can i write this type of distribution in winbugs?

many thanks in advance

]]>Can I ask you a question?

In multiple CFA analysis, we often constrain some parameters to be equal across groups. For example, suppose that I want to constrain the first factor loading between two groups. I named the first factor loading “lambda.g1.[1]” in first group and “lambda.g2[1]” in second group. How can I specify the equal constraint in Winbugs?

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