Warning: Invalid argument supplied for foreach() in /home/customer/www/opendatascience.com/public_html/wp-includes/nav-menu.php on line 95

Warning: array_merge(): Expected parameter 2 to be an array, null given in /home/customer/www/opendatascience.com/public_html/wp-includes/nav-menu.php on line 102

Joint, Conditional, and Marginal Probability Distributions

Modeling Statisticsposted by Eric Ma August 15, 2018 Eric Ma

Joint probability, conditional probability, and marginal probability… These are three central terms when learning about probability, and they show up in...

Joint probability, conditional probability, and marginal probability… These are three central terms when learning about probability, and they show up in Bayesian statistics as well. However… I never really could remember what they were, especially since we were usually taught them using formulas, rather than pictures.

Well, for those who learn a bit better using pictures… if you know what a probability distribution is, then hopefully these help with remembering what these terms mean. (Clicking on the image will bring you to the original, hosted on GitHub.)

Original Source

About author

Eric Ma

Eric is an Investigator in the Scientific Data Analysis team at the Novartis Institutes for Biomedical Research, where he solves biological problems using machine learning. He obtained his Doctor of Science (ScD) from the Department of Biological Engineering, MIT, and was an Insight Health Data Fellow in the summer of 2017. He has taught Network Analysis at a variety of data science venues, including PyCon USA, SciPy, PyData and ODSC, and has also co-developed the Python Network Analysis curriculum on DataCamp. As an open source contributor, he has made contributions to PyMC3, matplotlib and bokeh. He has also led the development of the graph visualization package nxviz, and a data cleaning package pyjanitor (a Python port of the R package).