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386
Pre-probabilistic sophistication
, 2009
"... We consider pre-probabilistic sophistication where an agent’s two-consequence act is based on a probabilistic belief over a finite λ-system of events. We identify the likelihood relation on the events such that if an agent is pre-probabilistically sophisticated, then its probability measure must rep ..."
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We consider pre-probabilistic sophistication where an agent’s two-consequence act is based on a probabilistic belief over a finite λ-system of events. We identify the likelihood relation on the events such that if an agent is pre-probabilistically sophisticated, then its probability measure must
Probabilistic Sophistication and Reverse Bayesianism
, 2013
"... This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision makers abide by expected utility theory, assuming instead weaker axioms that merely imply that they are probabilistically sophisticated. We show that our main results, namely, (modified) representatio ..."
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Cited by 2 (1 self)
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This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision makers abide by expected utility theory, assuming instead weaker axioms that merely imply that they are probabilistically sophisticated. We show that our main results, namely, (modified
Probabilistic sophistication and variational preferences
- Journal of Economic Theory
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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Cited by 2 (0 self)
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All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Event exchangeability: Probabilistic sophistication without continuity or monotonicity
- Econometrica
, 2006
"... Building on the Ramsey–de Finetti idea of event exchangeability, we derive a char-acterization of probabilistic sophistication without requiring any of the various versions of monotonicity, continuity, or comparative likelihood assumptions imposed by Savage (1954), Machina and Schmeidler (1992), and ..."
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Cited by 18 (3 self)
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Building on the Ramsey–de Finetti idea of event exchangeability, we derive a char-acterization of probabilistic sophistication without requiring any of the various versions of monotonicity, continuity, or comparative likelihood assumptions imposed by Savage (1954), Machina and Schmeidler (1992
Practical network support for IP traceback
, 2000
"... This paper describes a technique for tracing anonymous packet flooding attacks in the Internet back towards their source. This work is motivated by the increased frequency and sophistication of denial-of-service attacks and by the difficulty in tracing packets with incorrect, or “spoofed”, source ad ..."
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Cited by 678 (13 self)
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This paper describes a technique for tracing anonymous packet flooding attacks in the Internet back towards their source. This work is motivated by the increased frequency and sophistication of denial-of-service attacks and by the difficulty in tracing packets with incorrect, or “spoofed”, source
Working Paper Series Pareto Optimal Allocations for Probabilistic Sophisticated Variational Preferences out within the NCCR FINRISK projects on "Dynamic Asset Pricing" "Credit Risk and Non-Standard Sources of Risk in Finance" Pareto Optimal Allocations fo
"... Abstract We prove the existence of Pareto optimal allocations within sets of acceptable allocations when decision makers have probabilistic sophisticated variational preferences defined on random endowments in L 1 . JEL Classifications: D81, D86. ..."
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Abstract We prove the existence of Pareto optimal allocations within sets of acceptable allocations when decision makers have probabilistic sophisticated variational preferences defined on random endowments in L 1 . JEL Classifications: D81, D86.
The INQUERY Retrieval System
- In Proceedings of the Third International Conference on Database and Expert Systems Applications
"... As larger and more heterogeneous text databases become available, information retrieval research will depend on the development of powerful, efficient and flexible retrieval engines. In this paper, we describe a retrieval system (INQUERY) that is based on a probabilistic retrieval model and provides ..."
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Cited by 387 (46 self)
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As larger and more heterogeneous text databases become available, information retrieval research will depend on the development of powerful, efficient and flexible retrieval engines. In this paper, we describe a retrieval system (INQUERY) that is based on a probabilistic retrieval model
Sophisticated Indexes for Implementing Probabilistic Expert Systems
"... Abstract. Indexes are crucial for the efficient implementation of probabilistic expert systems. However, the indexes previously proposed, and the methods for applying them, are somewhat elementary. Moreover, recent experiments involving large Bayesian networks have resulted in the computer running o ..."
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out of memory. This further emphasizes the importance of indexes for probabilistic inference involving secondary memory. In this paper, we propose several sophisticated index structures for implementing probabilistic expert systems. We show the advantages of these advanced indexes over the previously
unknown title
, 2004
"... ‘Expected utility / subjective probability ’ analysis without the sure-thing principle or probabilistic sophistication ⋆ ..."
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‘Expected utility / subjective probability ’ analysis without the sure-thing principle or probabilistic sophistication ⋆
Probabilistic models of language processing and acquisition
- Trends in Cognitive Science
, 2006
"... Probabilistic methods are providing new explanatory approaches to fundamental cognitive science questions of how humans structure, process and acquire language. This review examines probabilistic models defined over traditional symbolic structures. Language comprehension and production involve prob ..."
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Cited by 71 (5 self)
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probabilistic inference in such models; and acquisition involves choosing the best model, given innate constraints and linguistic and other input. Probabilistic models can account for the learning and processing of language, while maintaining the sophistication of symbolic models. A recent burgeoning
Results 1 - 10
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386