Understanding Convolutions in Probability: A Mad-Science Perspective — Count Bayesie | Data science learning, Probability, Mad science
Skip to content
Search for easy dinners, fashion, etc.
When autocomplete results are available use up and down arrows to review and enter to select. Touch device users, explore by touch or with swipe gestures.
Understanding Convolutions in Probability: A Mad-Science Perspective — Count Bayesie Math Notation, Data Science Learning, Normal Distribution, Mad Science, Digital Signal Processing, Signal Processing, Data Science, Science
countbayesie.com

Understanding Convolutions in Probability: A Mad-Science Perspective — Count Bayesie

In this post we take a look a how the mathematical idea of a convolution is used in probability. In probability a convolution is a way to add two random variables. Using a slightly ridiculous, mad-science, example we walk through multiple way to compute a convolution and ultimate arrive at the formu
qesaulterQ
Qesaulter

Comments

More about this Pin

Board containing this Pin

Selected board cover image
Data science learning
21 Pins
3mo

Related interests

Math Notation
Data Science Learning
Normal Distribution
Mad Science
Digital Signal Processing
Signal Processing
Data Science
Science