statistical decision theory

This article is about the mathematical definition of risk in statistical decision theory.

Spam filters are also based on statistical decision theory.

Admissible decision rule, in statistical decision theory, a rule which is never dominated.

In classical statistical decision theory, we have an estimator that is used to estimate a parameter .

Foundations of the statistical hypothesis testing theory and the statistical decision theory.

However, some elements of frequentist statistics, such as statistical decision theory, do incorporate utility functions.

Introduction to Statistical Decision Theory.

Wolfowitz's main contributions were in the fields of statistical decision theory, non-parametric statistics, sequential analysis, and information theory.

Vector lattices and conical measures were introduced into statistical decision theory by Lucien Le Cam.

(1986) Asymptotic Methods of Statistical Decision Theory, Springer.

James O. Berger Statistical Decision Theory and Bayesian Analysis.

His book Applied Statistical Decision Theory with Robert Schlaifer introduced the idea of conjugate prior distributions.

While at Hotelling's group, Wald developed sequential analysis and statistical decision theory, which Hotelling described as "pragmatism in action".

Applied statistical decision theory (with Howard Raiffa) Cambridge, Mass.: MIT Press, 1961.

In the 1990s, he was known for applications of wavelet methods for noise reduction in signal and image processing, and turned them in statistical decision theory.

Teddy Seidenfeld Carnegie Mellon, Philosophy (statistical decision theory, probability theory, game theory)

Statistical decision theory studies "selection problems" that require the identification of a "best" subpopulation or of identifying a "near best" subpopulation.

Of course, much work on the optimal design of experiments is related to the theory of optimal decisions, especially the statistical decision theory of Abraham Wald.

Introduction to statistical decision theory John W. Pratt, Howard Raiffa, Robert Schlaifer preliminary edition, 1965.

In statistical decision theory, an admissible decision rule is a rule for making a decision such that there isn't any other rule that is always "better" than it.

But he included optimization techniques in his recommended curriculum for engineers, and endorsed "Utility theory and statistical decision theory as a logical framework for rational choice among given alternatives."

Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman.

The 1961 book Applied Statistical Decision Theory by Schlaifer and Raiffa was among the earliest to utilize EVSI extensively.

He left Georgia State to join the College of Business and Industry at the University of Memphis, where he taught quantitative management, statistical decision theory and applied programming languages.

He is an influential Bayesian decision theorist and pioneer in the field of decision analysis, with works in statistical decision theory, game theory, behavioral decision theory, risk analysis, and negotiation analysis.