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Statistical Machine Learning Question

Constel-G
(edited 5 years ago)
Original post by IReapZz6
Consider a categorical-Gaussian mixture model, that is, a joint random
variable X, Y with categorical random variable X which has K = 2 possible
outcomes, X {1, 2}, with parameter vector p with entries p1, p2. The Gaussian
random variable Y has dimension D = 1, with mean parameters µ1, µ2 and
standard deviations σ1, σ2.

Find an explicit expression for the joint probability density of X, Y .


This is a decent introduction. (pdf file).

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