Decision Analysis: Introductory Lectures on Choices under Uncertainty.

By A. Klevorick, H. Raiffa. 1969

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Citations in the corpus

Variational Bayesian Reinforcement Learning with Regret Bounds (2018, background): “+ CY: It turns out that the exponential utility function is the unique utility function that satisﬁes this property (the identity utility is a special case) (Abbas, 2007; Pfanzag, 1959; Howard, 1967; Raiffa, 1968), which, up to afﬁne transformation, is given by u(X) = ˝(exp(X=˝) 1): 4 VARIATIONAL BA”
Using Game Theory and Strategic Reasoning Concepts to Prevent and Detect Fraud (2004, background): “A recommendation to improve judgment accuracy is to decompose a decision into component decisions, separately consider each component, and then recombine the components to make the global decision (Raiffa 1968).”
Statistical Methods for Eliciting Probability Distributions (2005, background): “Visual aids to help people quantify their opinions have been tried, such as urns full of colored balls (Raiffa 1968), light pens on colored screens (Barclay and Randall 1975), or simply asking assessors to mark a point on a line whose endpoints are 0 and 1 (for probabilities) or 0–100% for…”
Handling uncertainty in the hydroinformatic process (2003, background): “Consideration of the decision context enables analysis of decision robustness and of the value of obtaining further information (Raiffa 1968; Lindley 1990; Cox 2001).”
Decision analysis in Management Science (2004, background): “Raiffa’s book Decision Analysis: Introductory Lectures (Raiffa 1968) provided a detailed and practically oriented introductory text which discussed decision trees, the use of subjective probabilities, utility theory, and decision making by groups.”
From Uncertain Intentions to Actual Behavior: A Threshold Model of Whether and When Salespeople Quit (2000, background): “Uncertainty resolution: This conjecture emerges from a rational analysis grounded in a classic information theoretic perspective (e.g., Raiffa 1968).”
Some Contributions of Integrated Assessment Models of Global Climate Change (2017, background): “Thus, since at least Raiffa (1968) and Howard (1984), researchers have used exponential utility functions with constant relative risk aversion to represent the preferences of individual decision makers because this approach tends to provide good approximations when the outcomes of decisions are not…”
Geothermal Handbook: Planning and Financing Power Generation (2012, methodology): ““The wildcatter Problem”— when to Test and when to Invest The “wildcatter problem” that analyzes this set-up was formulated by Howard Raiffa (1968), using drilling for oil as an example.”
Bayesian Artificial Intelligence (2004, background): “These areas as well covered in the decision analysis literature (see for example, Raiffa’s Decision Analysis [229], an excellent book!).”
Rational choice and the framing of decisions (1990, background): “Although some intransitivities (e.g., Tversky 1969) can be explained by discarding small differences in the framing phase, and others (e.g., Raiffa 1968, p. 75) arise from the combination of transparent and nontransparent comparisons, there are examples of cyclic preferences and context effects…”
Harold Jeffreys’s Theory of Probability Revisited (2008, background): “Surprisingly, this section does not contain any indication that the specific structure of exponential families could be used to construct conjugate23 priors (Raiffa, 1968).”
Explaining and justifying the advice of a decision support system: a natural language generation approach (2003, methodology): “Kim and Kim (1991) employ the five axioms for reasoning about preference (Raiffa, 1970).”