Joint, conditional, and marginal probability distributions

written by Eric J. Ma on 2018-08-07 | tags: statistics probability bayesian data science

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.)

Cite this blog post:

@article{
    ericmjl-2018-joint-distributions,
    author = {Eric J. Ma},
    title = {Joint, conditional, and marginal probability distributions},
    year = {2018},
    month = {08},
    day = {07},
    howpublished = {\url{https://ericmjl.github.io}},
    journal = {Eric J. Ma's Blog},
    url = {https://ericmjl.github.io/blog/2018/8/7/joint-conditional-and-marginal-probability-distributions},
}

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