Expected Value Of Sample Information
In decision theory, the expected value of sample information (EVSI) is the expected increase in utility that you could obtain from gaining access to a sample of additional observations before making a decision. The additional information obtained from the sample may allow you to make a more informed, and thus better, decision, thus resulting in an increase in expected utility. EVSI attempts to estimate what this improvement would be before seeing actual sample data; hence, EVSI is a form of what is known as preposterior analysis.
Read more about Expected Value Of Sample Information: Formulation, Computation, Example, Historical Background, Comparison To Related Measures
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“English life, while very pleasant, is rather bland. I expected kindness and gentility and I found it, but there is such a thing as too much couth.”
—S.J. Perelman (19041979)
“All that a city will ever allow you is an angle on itan oblique, indirect sample of what it contains, or what passes through it; a point of view.”
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“The real, then, is that which, sooner or later, information and reasoning would finally result in, and which is therefore independent of the vagaries of me and you. Thus, the very origin of the conception of reality shows that this conception essentially involves the notion of a COMMUNITY, without definite limits, and capable of a definite increase of knowledge.”
—Charles Sanders Peirce (18391914)