Understanding Prior Probability in Bayesian Statistics

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.
JSTOR Daily

Posterior Probability of Discovery and Expected Rate of Discovery for Multiple Hypothesis Testing and High Throughput Assays

Technologies of measuring millions of quantities at once have been rapidly developed and used in biological and biomedical research and other fields in the past decade. Yet a key issue remains ...
JSTOR Daily

Doing What Comes Naturally: Interpreting a Tail Area as a Posterior Probability or as a Likelihood Ratio

Consider a problem in which a certain statistic X has a specified distribution function F(x) if a given hypothesis H is true, and suppose that the hypothesis H is evaluated by calculating the tail ...
Simon Fraser University

Posterior Probability Error-Rate Estimates

The posterior probability error-rate estimates (Fukunaga and Kessell 1973; Glick 1978; Hora and Wilcox 1982) for each group are based on the posterior probabilities of the observations classified into ...
Nature

Confidence and certainty: distinct probabilistic quantities for different goals

William James famously wrote, “Everyone knows what attention is”. Yet cognitive scientists are still struggling to come up with a clear definition of attention. The same might be said of confidence.