All Questions
3
questions
1
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Clustering and Dirichlet process' parameter
I am reading a paper in which they describe a bayesian model in which the prior $a_i$ is defined as a Dirichlet Process (DP). They say: "We use a DP to find the optimal $a_i$ via clustering".
Later on ...
- 11
0
votes
1
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267
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Understanding Gaussian Process and their Priors
I am very interested to understand the motivation behind why are we using these priors let's say in the context of regression. I know that the kernel depicts the distance between the points or let's ...
- 3
1
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0
answers
76
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Nonparametric Bayesian priors on mean $0$ distributions?
Is there any standard way of putting a prior on the mean $0$ distributions? I'm interested in this from the perspective of robustly modelling the error distribution in a regression. So for instance I ...
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