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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 …
Areza's user avatar
  • 1,158
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 …
Areza's user avatar
  • 1,158