This man's namesake estimator is identical to the maximum likelihood estimator if the parameters to both are uniform.
This man's namesake estimator is identical to the maximum likelihood estimator if the parameters to both are uniform. A mathematical structure named for this scientist can be interpreted using Gibbs sampling and is a directed acyclic graph that represents conditional dependencies of variables. A statement named for this man is often proved by invoking the commutative property of set intersection. In addition to naming a kind of network, this man names a paradigm that stands in contrast to the (*) frequentist approach, in which the prior probability is completely rejected. His namesake theorem relates the conditional probabilities of various events and is often used in detecting spam. For 10 points, name this 18th century English statistician.
This man's namesake estimator is identical to the maximum likelihood estimator if the parameters to both are uniform.
Thomas Bayes