Beta Regression vs. Logistic Regression

Pre-requisites:

  1. Knowing the Maximum-likelihood criterion;
  2. It is recommended that readers have known the concepts and basic applications of Beta distribution.

This article tells you a method to modeling a regression problem whose output is bounded and supposed to be countinuous.

To view this article, please download:
Beta_Regression_vs_Logistic_Regression.pdf
There is a .ipynb notebook for a toy experiment, which could be downloaded from:BoundedRegression.ipynb

本文作者： lucainiaoge
本文链接： https://lucainiaoge.github.io.git/2021/03/21/Beta_Regression_vs_Logistic_Regression/
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