Decision rule — This article is about decision theory. For the use in computer science, see decision rules. In decision theory, a decision rule is a function which maps an observation to an appropriate action. Decision rules play an important role in the theory… … Wikipedia
Admissible decision rule — In classical (frequentist) decision theory, an admissible decision rule is a rule for making a decision that is better than any other rule that may compete with it, in a specific sense defined below. Generally speaking, in most decision problems… … Wikipedia
Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… … Wikipedia
Bayes factor — In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing.cite journal | author = Goodman S | title = Toward evidence based medical statistics. 1: The P value fallacy | journal = Ann Intern Med | volume =… … Wikipedia
Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In… … Wikipedia
Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… … Wikipedia
Clinical decision support system — (CDSS or CDS) is an interactive decision support system (DSS) Computer Software, which is designed to assist physicians and other health professionals with decision making tasks, as determining diagnosis of patient data. A working definition has… … Wikipedia
Bayesian statistics — Statistical theory, based on Bayes&’ decision rule, that outlines a framework for producing decisions based on relative payoffs of different outcomes. Used in genetic counselling … Dictionary of molecular biology
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Minimax estimator — In statistical decision theory, where we are faced with the problem of estimating a deterministic parameter (vector) from observations an estimator (estimation rule) is called minimax if its maximal risk is minimal among all estimators of . In a… … Wikipedia
Prior probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood … Wikipedia