A foundation for statistics
By K. Vind. 2003
341 citations recorded by the source corpus.
Subfields: Artificial Intelligence, History and Philosophy of Science
View Paper: https://www.semanticscholar.org/paper/e0d0050dffdd3c7710edfaa263c551e9dde86bf9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Itzhak Gilboa
- Edmundas Kazimieras Zavadskas
- Jason Matthew Aughenbaugh
- C. Paredis
- Frank Schuhmacher
- Philippe Jehiel
- Jonathan E. Miles
- David H. Krantz
In History and Philosophy of Science
- Edmundas Kazimieras Zavadskas
- Jason Matthew Aughenbaugh
- Itzhak Gilboa
- C. Paredis
- Frank Schuhmacher
- Philippe Jehiel
- Jonathan E. Miles
- David H. Krantz
Citations in the corpus
- Analogy-based expectation equilibrium (2004, background): “In his discussion of small words, Savage (1954) suggests the possibility that a decision maker may not be able to envision the whole complexity of the state space when making a decision.61 In the analogy-based expectation approach too, players form expectations about the behavior of others by…”
- Multiple criteria decision making (MCDM) methods in economics: an overview (2011, background): “Savage (1954) was the first to introduce the foundation of the subject.”
- Goals and plans in decision making (2007, background): “In fact, total ordering is fundamental to most foundational theories in decision science (Savage, 1954; Krantz, Luce, Suppes & Tversky, 1971; Kahneman & Tversky, 1979; Tversky & Kahneman, 1992).”
- A penny for your thoughts: a survey of methods for eliciting beliefs (2014, neutral): “Smith (1961) says the idea is ‘adapted from Savage (1954)’, but Savage (1971) attributes the idea to Smith.”
- The Value of Using Imprecise Probabilities in Engineering Design (2006, background): “Note that the relative sizes of components in Figure 1 have no real meaning; the intention here is only to show how the components are related to each other.”
- Utilitarian Aggregation of Beliefs and Tastes (2004, background): “See Savage (1954) and Villegas (1964) or Arrow (1965).”
- The Permissible Gharar (Risk) in Classical Islamic Jurisprudence الغرر المسموح به في الشريعة الإسلامية (2003, neutral): “Expected utility function is used to model decision making under uncertainty and modern axiomization of this theory was provided by Von Neuman and Morgenstern (1944) and Savage (1954) and the proposed utility theory was introduced by Friedman and Savage (1948).”
- Portfolio Choice and Risk Attitudes: An Experiment (2003, neutral): “The Savage (1954) axioms preclude any role for vagueness in a 5 rational theory of choice.”
- CLEANING UP THE BIG MUDDY: A META-ANALYTIC REVIEW OF THE DETERMINANTS OF ESCALATION OF COMMITMENT (2012, methodology): “Specifically, we consider subjective expected utility theory (e.g., Savage, 1954), self-justification theory (e.g., Aronson, 1968; Festinger, 1957), prospect theory (e.g., Kahneman & Tversky, 1979), the goal substitution effect (e.g., Conlon & Garland, 1993), self-presentation theory (e.g.,…”
- A Welfare Criterion For Models With Distorted Beliefs (2014, neutral): “On the one hand, a large body of the decision theory literature builds on the personalistic view of probability, advocated by Savage (1954), and holds that 1See Kreps (2012, page 193) for more details of the story.”
- Does the Choice of Performance Measure Influence the Evaluation of Hedge Funds (2007, result): “…for a significance level of α = 0.01 that the hypothesis that the rank correlation is smaller than x is rejected for all x smaller than 0.917 (see Rees, 1987, p. 383, for the test statistic).11 In conclusion, on the basis of our data, none of the new performance measures results in significant…”
- The development of risk-taking: A multi-perspective review (2006, background): “These ideas were incorporated into psychological theory in the midst of the 20th century, when von Neumann and Morgenstern (1944); Savage (1954); and Luce and RaiVa (1957), presented axiomatic theories of expected utility.”