All Questions
4
questions
1
vote
1
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Deciding the Number of Clusters : Standard Methods vs. Non-Parametric Methods
I was watching this video over here (https://www.youtube.com/watch?v=UBiaLq5V7mE) that discussed a Non-Parametric based Bayesian approach for deciding the number of clusters in a dataset.
Essentially, ...
11
votes
1
answer
514
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Do Stochastic Processes such as the Gaussian Process/Dirichlet Process have densities? If not, how can Bayes rule be applied to them?
The Dirichlet Pocess and Gaussian Process are often referred to as "distributions over functions" or "distributions over distributions". In that case, can I meaningfully talk about the density of a ...
4
votes
1
answer
530
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Is parametric Bayesian inference a special case of nonparametric Bayesian inference?
I'm thinking about univariate density estimation.
Original Question
In parametric inference, you assume the data are generated from a density that can be summarized by finitely-many parameters. You ...
- 1,425
1
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0
answers
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Estimating Gamma PDF parameters from data with negative increments
Say we have collected data, and from a physical perspective we know that the collected data should increase positively with time. However the data looks more like this:
This data shown in the figure ...
- 565