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Introduction to Statistical Decision Theory : Utility Theory and Causal Analysis by Bacci, Silvia, Chiandotto, Bruno is a nonfiction available to read on EtoBox.

What is Introduction to Statistical Decision Theory : Utility Theory and Causal Analysis about?

Introduction To Statistical Decision Theory: Utility Theory And Causal Analysisprovides The Theoretical Background To Approach Decision Theory From A Statistical Perspective. It Covers Both Traditional Approaches, In Terms Of Value Theory And Expected Utility Theory, And Recent Developments, In Terms Of Causal Inference. The Book Is Specifically Designed To Appeal To Students And Researchers That Intend To Acquire A Knowledge Of Statistical Science Based On Decision Theory. Features Covers Approaches For Making Decisions Under Certainty, Risk, And Uncertainty Illustrates Expected Utility Theory And Its Extensions Describes Approaches To Elicit The Utility Function Reviews Classical And Bayesian Approaches To Statistical Inference Based On Decision Theory Discusses The Role Of Causal Analysis In Statistical Decision Theory Atistical Inference Based On Decision Theory Discusses The Role Of Causal Analysis In Statistical Decision Theory

Who reads Introduction to Statistical Decision Theory : Utility Theory and Causal Analysis?

Author

Bacci, Silvia, Chiandotto, Bruno

Publisher

CRC Press, Taylor & Francis Group

Published

2020

Language

EN

ISBN

9781138083561

Category

nonfiction

Subjects

Mathematics, Science, Stem