Category
Bayesian Analysis
Bayesian inference is a method of statistical inference in which calculates the posterior probability based on a prior probability and a “likelihood function” derived from a statistical model from the observed data.
6
articles
R Project
Python
Advanced Modeling
4 years ago
What’s the intuition behind continuous Naive Bayes – ‘behind-the-scenes’ in R
Akhila
Advanced Modeling
5 years ago
With great powers come great responsibilities: model checks in Bayesian data analysis
Lionel Hertzog
Regression Models
6 years ago
Bayesian Statistics: Analysis of Health Data
Michael Grogan
Programming
8 years ago
Finding Optimal Number of Clusters
Sunny Anand
Advanced Modeling
9 years ago
Bayesian regression with STAN Part 2: Beyond normality
Lionel Hertzog
Advanced Modeling
9 years ago
Bayesian regression with STAN: Part 1 normal regression
Lionel Hertzog
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