Decision Theory
Bayesian graphical model determination using decision theory
... Numerous authors have advocated the view of statistical inference as a special case of decision theory, one of the most impressive works on this area being the book by Bernardo and Smith [4]. Advantages of ...
14
Asymmetries in information processing in a decision theory framework
... (...) stronger cognitive curiosity manifested for negative than for positive stimuli (Fiske, 1980), higher linguistic sophistication for negative than for positive category labels (Clark and Clark, 1977), higher ...
21
Expected utility theory, Jeffrey’s decision theory, and the paradoxes
... in decision theory consists in deriving it from the preference relation alone, which thus serves as the common primitive of the representation of beliefs and ...
24
Scoring and classifying examinees using measurement decision theory
... traditional decision theory sequential testing approach, minimum cost, was notably better than the best-case possibility for item response ...information theory, was almost identical to minimum ...
13
Robust decision theory and the Lucas critique
... robust decision theory 15 . Critically this robust decision theory largely treats uncertainty as the existence of deterministic shocks and not ...robust decision theory we can ...
31
Decision theory applied to image quality control in radiology
... proposed decision problem is: having one of the eight possibilities (x) what decision should be made regarding the value of ( T ) so that it can be considered true? The person responsi- ble for the ...
11
Optimization Algorithm For Decision Theory With Uncertainty
... for decision theory with uncertain a in height precedence for researchers in both of robust / stochastic optimization ...to decision theory ...
5
Strategic Choices of an Entrepreneur Using Statistical Decision Theory
... Statistical Decision Theory is “a formal attempt at providing a rational foundation to the way we learn from data” (Parmigiani, Inoue, & Lopes, ...Statistical Decision Theory preventing ...
10
CAUSAL DECISION THEORY IS FALSE
... According to (1)-(5) then, Suzie’s soft determinism is soft because she thinks that Causal Decision Theory should tell her whether to raise her arm. And it is deterministic because she thinks that some ...
31
“BAYESIAN DECISION THEORY IN MARKETING RESEARCH” - AN ANALYSIS OF BAYES THEOREM IN MARKETING DECISION MAKING
... the decision maker's judgment, decision theory should begin to be able to make a significant contribution as more firms familiarize themselves with the techniques and start applying them to actual ...
12
Validation of the Invariance and Dominance Principles in Decision Theory in the Urban Poor Decision Making Process
... economic decision-making more difficult for the poor, depletes cognitive ...in decision theory can anticipate the behavioral differences between poor and the non-poor in terms of their ...
7
Decision theory as practice: Crafting rationality in organizations
... choice theory with some forms of ...as decision analysts mobilize in their practice – and over the various stages of contextualization, quantification, and calculation – certain concepts, models, and ...
52
A quantum probability explanation for violations of "rational" decision theory
... The violation of the sure thing principle readily suggests that a classic probability model for Tversky and Shafir’s results will fail. We go beyond intuition and develop a standard Markov model for the two-stage ...
43
Essays in Behavioral Decision Theory
... SRM consists of two similarity relations on prizes and probabilities, denoted by ∼ x and ∼ p respectively. Suppose a DM compares binary lotteries (x, p) and (y, q) where x > y and p < q . In SRM, the DM uses the ...
193
Decision theory and counterfactual evaluation
... So it seems that we cannot really discuss the desirability of conditional propositions within Savage’s framework by interpreting conditionals as acts, and acts as partitioning conditionals. Perhaps we should then add ...
133
A decision theory approach to tone reproduction
... 38 subjective The degree for having various an of value algorithm may be heavily loss function exponent the of and coefficient, function was package on regression dependant order loss th[r] ...
67
Essays in Behavioral Decision Theory
... This model is flexible enough to capture a variety of phenomena. Since a prior updating procedure functionally similar to the one proposed in this paper has been utilized by Epstein and Schneider [20], it is know that ...
121
Risk Decision Making Based on Cloud Theory and Prospect Theory for Conditional Maintenance of Power Transformer
... cloud theory into solving the issue of the quantitative representation of the qualitative evaluation in power transformer condition ...prospect theory and establish the corresponding comprehensive prospects ...
5
Expected utility theory for monitoring-based decision making
... each decision is performed using ...the decision model must interface with the results of the probabilistic model used to estimate the structural ...
14
THEORY AND ESTIMATION OF THE MORTGAGE PAYMENT PROTECTION INSURANCE DECISION
... Also, the October 1995 changes raised the profile of MPPI, and so the purchase date may have an effect on the decision other than simply via the rational financial implications of ISMI. We wish to test whether the ...
19