Deriving a probability density calculator (functional pearl)

Abstract

Given an expression that denotes a probability distribution, often we want a corresponding density function, to use in probabilistic inference. Fortunately, the task of finding a density has been automated. It turns out that we can derive a compositional procedure for finding a density, by equational reasoning about integrals, starting with the mathematical specification of what a density is. Moreover, the density found can be run as an estimation algorithm, as well as simplified as an exact formula to improve the estimate.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 04, 2016
Source ID
10.1145/3022670.2951922

Entities

People

  • Chung-chieh Shan
  • Wazim Mohammed Ismail

Organizations

  • Defense Advanced Research Projects Agency
  • Indiana University
  • National Science Foundation

Tags

Readers

  • Computational Linguistics
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms