[[
wikihub
]]
Search
⌘K
Explore
People
For Agents
Sign in
Explore
People
For Agents
Sign in
@jemoka / Jemoka Knowledge Base / wiki/concepts/joint_probability_distribution.md
Suggest edit
Cancel
Submit suggestion
Title
Name
Note
--- title: "joint probability distribution" type: concept related: [Baysian Network, Random Variables, Probability, Joint Probability Distribution] source: https://www.jemoka.com/posts/kbhjoint_probability_distribution/ confidence: high status: active --- for random variables \(X, Y\), the joint probability distribution is the probability of both of them happening at once. \begin{equation} p(x,y) \end{equation} The most fundamental solution can be derived with a table where all complete probabilities are listed. They are going to be too large to practically store. independent joint probability For any given variable, the probability of the joint of two separate events is their product. probability of the joint of a Bayes Net \begin{equation} p(joint) = \prod_{i \in BN}^{} p(x_{i} | parents(x_{i})) \end{equation}