In one day, 433 people won the Philippine lottery jackpot. What were the chances? On October 1, 2022, something strange ...

For more than 60 years, this blank slate approach has been the Food and Drug Administration’s gold standard — and for good ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

“On this classic ID The Future out of the archive, Dr. Jonathan McLatchie gives us a beginner’s guide to Bayesian thinking and teaches us how it can be used to build a strong cumulative case for ...

This blog post and audio file is another in the series "Defending the Algorithm™" written, edited and narrated by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and ...

A team of international physicists has brought Bayes’ centuries-old probability rule into the quantum world. By applying the “principle of minimum change” — updating beliefs as little as possible ...

Currently, ESPresense Companion outputs a single, crisp room assignment per device based on multilateration from RSSI signals. This can be brittle in edge cases (e.g., devices near room boundaries or ...

Imagine you take a flu test. Before the result, you already have a guess, maybe you feel a bit unwell, so you think the chance is 50–50. When the test comes back positive, you don’t throw away your ...

ABSTRACT: What role does credit allocation play in shaping economic performance in small, developing countries? While prior research shows that business credit tends to support growth and household ...

Bayesian updating, also known as belief revision or conditioning, is a core mechanism of probability theory, and of AI. The human mind is very sensitive to the order in which it is being “primed”, but ...

Abstract: We use Markov categories to generalize the basic theory of Markov chains and hidden Markov models to an abstract setting. This comprises characterizations of hidden Markov models in terms of ...