Tags: Bayesian model

Description

Bayesian networks are a special type of probabilistic graphs. Their nodes represent random variables (discrete or continuous) and the edges represent conditional dependencies, forming a directed acyclic graph.  Each node contains a probabilistic function that is dependent on the values of its input nodes.

All Categories (1-4 of 4)

  1. Nicholas Emerson Bruns

    https://qubeshub.org/community/members/16304

  2. Jennifer Lamb

    I am currently a post-doctoral fellow at the University of Southern Mississippi (USM). In January 2017 I will begin teaching biology as an Adjunct Instructor at the Pearl River Community College...

    https://qubeshub.org/community/members/5010

  3. Jonathan Gilligan

    https://qubeshub.org/community/members/2665

  4. Workshop Statistics: Discovery with Data, A Bayesian Approach

    25 Feb 2015 | | Contributor(s):: Jim Albert, Allan Rossman

    From the project website " Workshop Statistics:  Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...