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A family of stochastic processes whose realizations are probability distributions
14
votes
4
answers
11k
views
Understanding and Implementing a Dirichlet Process model
I am trying to implement and learn a Dirichlet Process to cluster my data (or as machine learning people speak, estimate the density).
I read a lot of paper in the topic and sort of got the idea. Bu …
1
vote
0
answers
60
views
mixture regression model with networked variables
I am thinking about the following regression model; In my regression model, there is prior information on the regressors that they are connected like a network $T$. The purpose of my regression model …