Dec 26, 2020 · The necessary ignorance is specified by our inability to discriminate any of the different sub-aggregates having different frequency ratios, such as must always exist. So we see a …

Dec 3, 2020 · The Frequentist style of probability modeling is to use the minimum number of parameters and assumptions - even if this results in only being able to answer questions of the form: Given I …

Dec 3, 2020 · The frequentist vs Bayesian conflict For some reason, the whole difference between frequentist and Bayesian probability seems far more contentious than it should be, in my opinion.

Feb 17, 2021 · Confessions of a moderate Bayesian, part 4 Bayesian statistics by and for non-statisticians Read part 1: How to Get Started with Bayesian Statistics Read part 2: Frequentist …

Oct 1, 2024 · The discussion revolves around the implications of testing multiple hypotheses in statistical analysis, particularly focusing on the relationships between the probabilities of the null hypothesis …

Aug 23, 2024 · In frequentist statistics probability is the long-run frequency of some occurrence. It exists in nature, at least in some hypothetical sense. In Bayesian statistics probability is a human’s …

Oct 13, 2025 · Physics Forums expert math and physics blog. Read and learn from expert math and science articles, tutorials, and guides. Test your science knowledge with our quiz.

Jan 2, 2020 · The Monty Hall paradox illustrates the counterintuitive nature of probability in a game involving three doors, where one conceals a car and the others conceal goats. The prevailing …

Jul 20, 2025 · Here is the collection of expert math articles that deal with all mathematics disciplines. These cover all areas of math and all skill ranges from algebra to advanced calculus.

Nov 28, 2020 · In contrast, commonly used frequentist packages usually hide this implementation-level detail from the general user. To achieve widespread adoption of Bayesian techniques, what is …