UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory

Grunwald, PD; Dawid, AP; (2004) Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory. ANNALS OF STATISTICS , 32 (4) pp. 1367-1433. 10.1214/009053604000000553.

Full text not available from this repository.
Type: Article
Title: Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
DOI: 10.1214/009053604000000553
Keywords: Science & Technology, Physical Sciences, Statistics & Probability, Mathematics, STATISTICS & PROBABILITY, additive model, Bayes act, Bregman divergence, Brier score, convexity, duality, equalizer rule, exponential family, Gamma-minimax, generalized exponential family, Kullback-Leibler divergence, logarithmic score, maximin, mean-value constraints, minimax, mutual information, Pythagorean property, redundancy-capacity theorem, relative entropy, saddle-point, scoring rule, specific entropy, uncertainty function, zero-one loss, STATISTICAL MECHANICS, INFORMATION THEORY, DATA-COMPRESSION, INVERSE PROBLEMS, JEFFREYS PRIOR, DISTRIBUTIONS, INFERENCE, UNCERTAINTY, CRITERIA, RISK
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/180031
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item