Aggregation theory
Aggregation theory and the relevance of some issues to others
... judgment aggregation of Arrow’s Theorem (Dietrich and List [10], Dokow and Holzman [15], both building on Nehring and Puppe [37] and strengthening Wil- son ...
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Fully Bayesian Aggregation
... preference aggregation theory was born with Harsanyi’s (1955) spectacular theorem: in groups with heterogeneous preferences under risk, group utility must be lin- ear in individual utilities if the group is ...
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Aggregation and residuation
... to aggregation theory is to give results applicable to several different ...for aggregation procedures based on distances by Barthélemy and Janowitz-(1991) and it has been developped by several ...
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Fully Bayesian Aggregation
... complete theory of rationality im- poses static and dynamic ...rational-choice theory is Bayesian; it imposes the static requirement to hold expected-utility preferences and the dynamic requirement to ...
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Dynamically rational judgment aggregation
... Judgment-aggregation theory has always focused on the attainment of rational col- lective ...judgment aggregation rule is dynamically rational with re- spect to a given revision operator if, whenever ...
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Aggregation and residuation
... to aggregation theory is to give results applicable to several different ...for aggregation procedures based on distances in Barthélemy and Janowitz [2] and it has been developed by several ...
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Aggregation of disease-related peptides
... simulations to a better understanding of small oligomers of short amyloid peptides. While an implicit solvent representation reduces the number of degrees of freedom, hydrodynamics, which deals with the motion of fluids ...
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Judgment aggregation and agenda manipulation
... Judgment aggregation and agenda manipulation Franz Dietrich 1 December 2015 (…rst version September 2013) Abstract: When individual judgments (‘yes’or ‘no’) on some propositions are aggre- gated into collective ...
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A unified view on patch aggregation
... ture of Gaussian models. This situation is quite clas- sical in Bayesian image restoration, where each patch is restored with a prior model [40, 23, 37, 38, 35, 19]. It is usual that these different models do not ...
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Convex Aggregation Problems in Z²
... Keywords: Digital Geometry, Discrete Tomography, Convexity, Com- plexity, Horn-SAT 1 Introduction The first convex aggregation problem has been considered in 1996 in Discrete Tomography where it has been used for ...
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Aggregation and assumptions on macro functions
... For the case of unknown distribution form, necessary and sufficient conditions are found for a macro function to depend only on a predictor variable mean, on marginal [r] ...
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KINETICS AGGREGATION OF MAGNETIC SUSPENSIONS
... 2 Ural State University, pr.Lenina 51,Ekaterinburg, Russia Abstract We present results of theoretical and computer study of the kinetics of chain-like aggregate formation in suspensions of non-Brownian magnetizable ...
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Aggregation of isotropic autoregressive fields
... The present note is a corrigendum to the article of Azomahou (2009). In section 2, the general scheme of aggregation for random fields on Z 2 is recalled. In section 3, the aggregation of isotropic four ...
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Temporal Aggregation of Volatility Models
... The aim of this paper is to propose a new class of volatility models which closed under temporal aggregation and which avoids the limitations of the weak GARCH class. We follow the main idea of Drost and Nijman ...
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Essays on matching and preference aggregation
... In its October, 2017’s report, the « Cour des comptes », which is the French national court of auditors, revealed that the clearinghouse has been implementing a school-optimal FP-stable [r] ...
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Aggregation for Linear Inverse Problems
... the theory of these methods, since they allow to find the right balance between stability and ...called aggregation. Aggregation of estimators have been studied within a large number of frameworks ...
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Anomaly Detection Based on Indicators Aggregation
... The classification accuracy of the Random Forest increases almost monotonously with the number of indicators, but after roughly 25 to 30 indicators (depending on the data set), performan[r] ...
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Aggregation procedures: optimality and fast rates
... The exact oracle inequality of Section 2 is given in a general framework. Two ag- gregation procedures satisfy this oracle inequality. The well known ERM (for Empirical Risk Minimization) procedure (cf. [117], [77] and ...
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mQMA multi-constrained QoS Multicast Aggregation
... aggregation: AQoSM 7] (Aggregated QoS Multicast) and Q-STA 20] (QoS Multicast Tree ...multicast aggregation is ...multicast aggregation under several QoS constraints, the forwarding struc- ture ...
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Toward service aggregation for edge computing
... low-latency data analysis and better support of mobility. TerraSwarm 9 is similar but more broad vision of the interaction between the cyber-physical network and the core Cloud. This system is an open model of ...
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