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19.1: Probabilistic Reasoning by Rational Agents
https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/19%3A_Bayesian_Statistics/19.01%3A_Probabilistic_Reasoning_by_Rational_Agents
To say the same thing using fancy statistical jargon, what I’ve done here is divide the joint probability of the hypothesis and the data P(d,h) by the marginal probability of the data P(d), and this i...To say the same thing using fancy statistical jargon, what I’ve done here is divide the joint probability of the hypothesis and the data P(d,h) by the marginal probability of the data P(d), and this is what gives us the posterior probability of the hypothesis given that we know the data have been observed.
14.1: Probabilistic Reasoning by Rational Agents
https://stats.libretexts.org/Workbench/Learning_Statistics_with_SPSS_-_A_Tutorial_for_Psychology_Students_and_Other_Beginners/14%3A_Bayesian_Statistics/14.01%3A_Probabilistic_Reasoning_by_Rational_Agents
To say the same thing using fancy statistical jargon, what I’ve done here is divide the joint probability of the hypothesis and the data P(d,h) by the marginal probability of the data P(d), and this i...To say the same thing using fancy statistical jargon, what I’ve done here is divide the joint probability of the hypothesis and the data P(d,h) by the marginal probability of the data P(d), and this is what gives us the posterior probability of the hypothesis given that we know the data have been observed.

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