# Tagged Questions

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### Distribution of logically constrained parameters in Monte Carlo simulation

Papers like Briggs et al. 2002 say that logical constraints on inputs such as probability parameters exclude the the Normal distribution from consideration due to its unboundedness. In this example, ...
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### Convolve multivariate gaussian

I wish to find $p(\eta_\star)=\int_{}p(\eta_\star|\eta)p(\eta)d\eta$. Where $p(\eta_\star|\eta)=\mathcal{N}(a^T\eta,\Sigma_1)$ and $p(\eta)=\mathcal{N}(\mu_2,\Sigma_2)$. The problem I have is really ...
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### Conjugate inverseGamma prior and Multivariate normal?

I do know that inverse gamma is a conjugate prior for univariate normal distribution. I guess it's also a conjugate prior for multivariate normal distribution. I'm trying to get the closed-form ...
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### Being uniform in log of some parameter?

Alright, I am reading this book called "Bayesian Data Analysis" and it states this idea of being uniform in log of something which I don't have any clue what that might mean?? Example 1: Introduction ...
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### Multivariate normal posterior

This is a very simple question but I can't find the derivation anywhere on the internet or in a book. I would like to see the derivation of how one Bayesian updates a multivariate normal ...
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### Constructing a Bayesian Classifier in R

Does anybody know the way to construct a Bayesian classifier in R for two bi-variate gaussian distributions of which the means and variances are known? The two classes are equi-probable and the ...
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