Decision Theory

Charles A. Rohde
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Charles A. Rohde: Johns Hopkins University, Bloomberg School of Health

Chapter Chapter 10 in Introductory Statistical Inference with the Likelihood Function, 2014, pp 125-132 from Springer

Abstract: Abstract In this chapter we introduce some of the ideas and notation of decision theory. At one time it was thought that all statistical problems could be cast in the decision theoretic framework and statistics could thus be reduced to a study of optimization techniques. This subsided, partly due to the complexity of real-world problems and partly due to the realization that inference was more subtle than optimization. Nevertheless some knowledge of the basic concepts is useful for consolidation of ideas and as an introduction to Bayesian ideas.

Keywords: Decision Rule; Action Space; Decision Theory; Variance Covariance Matrix; Multivariate Normal Distribution (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10461-4_10

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DOI: 10.1007/978-3-319-10461-4_10

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