OVERVIEW OF DISCRETE AND CONTINUOUS RANDOM VARIABLES

Описание к видео OVERVIEW OF DISCRETE AND CONTINUOUS RANDOM VARIABLES

In this video we explain how to jointly represent and manipulate discrete and continuous quantities within the same probabilistic model, providing several examples with real data. We also describe two important applications of these ideas: mixture models for classification and regression, and Bayesian parametric modeling.

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