Bayesian Updating and the “Picture Becomes Clearer” Analogy
Author(s): David Aldous, Ph.D. Bayesian updating — revising an estimate when new information is available — is a key concept in data science. It seems intuitively obvious that (within an accurate probability model of a real-world phenomenon) the revised estimate will typically …
How Much is Expected to Lose in KENO
Author(s): George Pipis A Brief Analysis of KENO Expected pay-off Continue reading on Towards AI » Published via Towards AI …
Bayesian Inference: Beyond Estimating Statistical Models
Author(s): ___ Why and how to apply Bayesian inference to build causal models Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Bernoulli Distribution — Probability Tutorial with Python
Author(s): Pratik Shukla, Roberto Iriondo Source: Unsplash Probability, Statistics Bernoulli distribution tutorial — diving into the discrete probability distribution of a random variable with examples in Python In this series of tutorials, we will dive into probability distributions in detail. We will not just showcase …
Let’s Flip Some Coins, or How Randomness Can Help with Proving Theorems
Author(s): Haris Angelidakis In this post, we introduce the beautiful Probabilistic Method, and how it can be used to prove claims about discrete structures. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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