Bayesian

Machine learning based on bayesian statistics

Suppose we have a model that describes the data generation process behind a dataset. The …

$$ \frac{p(\mathscr M_1|y)}{ p(\mathscr M_2|y) } = \frac{p(\mathscr M_1)}{ p(\mathscr M_2) …

BIC considers the number of parameters and the total number of data records.

FIA is a method to describe the minimum description length ( MDL MDL is a measure of how well a …

Bayes’ Theorem is stated as $$ P(A\mid B) = \frac{P(B \mid A) P(A)}{P(B)} $$ $P(A\mid B)$: …