Multivariate Priors And Correlations
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- Bayesian Workflow
This R introduces and expands on hierarchical modeling with variance co-variance matrices and multivariate distributions.
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This R introduces and expands on hierarchical modeling with variance co-variance matrices and multivariate distributions.
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The following markdown is an insight into how i think about distributions and the use of these in statistical and computational modeling.
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This R markdown is for conducting parameter recovery.
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This R markdown is an introduction to fitting Hierarchical models in stan.
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This R markdown document is an introduction of how to diagnose Stan models.
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This R markdown is for explaining priors in stan.
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This R markdown document showcases how one can fit models to simulated data in R and Stan.
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This R markdown document gives an idea of how data simulation fits into the Bayesian workflow and how to perform this in R.