Search results for "Mathematical Economics"

showing 10 items of 240 documents

Robust nonparametric statistical methods. Thomas P. Hettmansperger and Joseph McKean, Arnold/Wiley, London/New York, 1998. No. of pages: xi+467. Pric…

1999

Statistics and ProbabilityEpidemiologyPhilosophyNonparametric statisticsMathematical economicsStatistics in Medicine
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Reassessing Accuracy Rates of Median Decisions

2007

We show how Bruno de Finetti''s fundamental theorem of prevision has computable applications in statistical problems that involve only partial information. Specifically, we assess accuracy rates for median decision procedures used in the radiological diagnosis of asbestosis. Conditional exchangeability of individual radiologists'' diagnoses is recognized as more appropriate than independence which is commonly presumed. The FTP yields coherent bounds on probabilities of interest when available information is insufficient to determine a complete distribution. Further assertions that are natural to the problem motivate a partial ordering of conditional probabilities, extending the computation …

Statistics and ProbabilityFOS: Computer and information sciencesFundamental theorem of previsionComputer scienceGeneral MathematicsComputationSpecificity.Quadratic programmingStatistics - ApplicationsMedical diagnosiSensitivityLinear programmingProbability boundApplications (stat.AP)Second opinionQuadratic programmingMedical diagnosisIndependence (probability theory)Fundamental theoremAsbestosiConditional probabilityDistribution (mathematics)ExchangeabilityPredictivevalueStatistics Probability and UncertaintyPartially ordered setCoherenceMathematical economics
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Analysis of resources distribution in economics based on entropy

2002

We propose a new approach to the problem of e0cient resources distribution in di1erent types of economic systems. We also propose to use entropy as an indicator of the e0ciency of resources distribution. Our approach is based on methods of statistical physics in which the states of economic systems are described in terms of the density functions � (g; � ) of the variable — — — — � �

Statistics and ProbabilityMathematical optimizationMaximum entropy probability distributionEntropy (energy dispersal)Condensed Matter PhysicsMathematical economicsMathematicsPhysica A: Statistical Mechanics and its Applications
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Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh

2011

Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh [arXiv:1108.2120]

Statistics and ProbabilityMethodology (stat.ME)FOS: Computer and information sciencesGeneral MathematicsPhilosophyPrior probabilityStatistics Probability and UncertaintyMathematical economicsStatistics - Methodology
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Modeling interactions between political parties and electors

2017

In this paper we extend some recent results on an operatorial approach to the description of alliances between political parties interacting among themselves and with a basin of electors. In particular, we propose and compare three different models, deducing the dynamics of their related {\em decision functions}, i.e. the attitude of each party to form or not an alliance. In the first model the interactions between each party and their electors are considered. We show that these interactions drive the decision functions towards certain asymptotic values depending on the electors only: this is the {\em perfect party}, which behaves following the electors' suggestions. The second model is an …

Statistics and ProbabilityPhysics - Physics and SocietyDynamical systems theorySpecific timeFOS: Physical sciencesExtension (predicate logic)Physics and Society (physics.soc-ph)Condensed Matter Physics01 natural sciencesDecision making Dynamical systems Quantum models in macroscopic systems010305 fluids & plasmasPoliticsAllianceQuartic function0103 physical sciences010306 general physicsMathematical economicsSettore MAT/07 - Fisica MatematicaMathematics
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First results on applying a non-linear effect formalism to alliances between political parties and buy and sell dynamics

2016

We discuss a non linear extension of a model of alliances in politics, recently proposed by one of us. The model is constructed in terms of operators, describing the \emph{interest} of three parties to form, or not, some political alliance with the other parties. The time evolution of what we call \emph{the decision functions} is deduced by introducing a suitable hamiltonian, which describes the main effects of the interactions of the parties amongst themselves and with their \emph{environments}, {which are }generated by their electors and by people who still have no clear {idea }for which party to vote (or even if to vote). The hamiltonian contains some non-linear effects, which takes into…

Statistics and ProbabilityPhysics - Physics and SocietyFormal structureFOS: Physical sciencesPhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmassymbols.namesakePolitics0103 physical sciencesQuantum models in macroscopic system010306 general physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsEconophysicsEconophysicMathematical Physics (math-ph)Condensed Matter PhysicsNonlinear systemFormalism (philosophy of mathematics)AlliancesymbolsDecision processHamiltonian (quantum mechanics)Mathematical economicsPhysica A: Statistical Mechanics and its Applications
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How fair is an equitable distribution?

2006

Envy is a rather complex and irrational emotion. In general, it is very difficult to obtain a measure of this feeling, but in an economical context envy becomes an observable which can be measured. When various individuals compare their possessions, envy arises due to the inequality of their different allocations of commodities and different preferences. In this paper we show that an equitable distribution of goods does not guarantee a state of fairness between agents and in general that envy cannot be controlled by tuning the distribution of goods.

Statistics and ProbabilityPhysics - Physics and SocietyInequalitybusiness.industrymedia_common.quotation_subjectFOS: Physical sciencesDistribution (economics)Context (language use)Physics and Society (physics.soc-ph)Condensed Matter PhysicsFOS: Economics and businessFeelingIrrational numberEconomicsEconomic modelQuantitative Finance - General FinanceGeneral Finance (q-fin.GN)businessMathematical economicsmedia_commonPhysica A: Statistical Mechanics and its Applications
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Damping in quantum love affairs

2011

In a series of recent papers we have used an operatorial technique to describe stock markets and, in a different context, {\em love affairs} and their time evolutions. The strategy proposed so far does not allow any dumping effect. In this short note we show how, within the same framework, a strictly non periodic or quasi-periodic effect can be introduced in the model by describing in some details a linear Alice-Bob love relation with damping.

Statistics and ProbabilityPhysics - Physics and SocietyQuantum PhysicsQuantum tools for classical systemsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Nonlinear Sciences - Chaotic DynamicsCondensed Matter PhysicsSocial systemDumpingEconomicsChaotic Dynamics (nlin.CD)Quantum Physics (quant-ph)Settore MAT/07 - Fisica MatematicaMathematical economicsQuantumStock (geology)Physica A: Statistical Mechanics and its Applications
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A quantum statistical approach to simplified stock markets

2009

We use standard perturbation techniques originally formulated in quantum (statistical) mechanics in the analysis of a toy model of a stock market which is given in terms of bosonic operators. In particular we discuss the probability of transition from a given value of the {\em portfolio} of a certain trader to a different one. This computation can also be carried out using some kind of {\em Feynman graphs} adapted to the present context.

Statistics and ProbabilityToy modelComputationCondensed Matter Physicsstock marketFOS: Economics and businesssymbols.namesakeQuantum probabilitysymbolsFeynman diagramPortfolioApplied mathematicsnumber operatorsStock marketQuantitative Finance - General FinanceGeneral Finance (q-fin.GN)QuantumMathematical economicsSettore MAT/07 - Fisica MatematicaStock (geology)Mathematics
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Approachability in Population Games

2014

This paper reframes approachability theory within the context of population games. Thus, whilst one player aims at driving her average payoff to a predefined set, her opponent is not malevolent but rather extracted randomly from a population of individuals with given distribution on actions. First, convergence conditions are revisited based on the common prior on the population distribution, and we define the notion of \emph{1st-moment approachability}. Second, we develop a model of two coupled partial differential equations (PDEs) in the spirit of mean-field game theory: one describing the best-response of every player given the population distribution (this is a \emph{Hamilton-Jacobi-Bell…

Statistics and Probabilityeducation.field_of_studyComputer Science::Computer Science and Game TheoryMEAN-FIELD GAMESComputer scienceApproachabilityREGRETApplied MathematicsPopulationStochastic gameRegretContext (language use)91A13ApproachabilityEVOLUTIONComplete informationOptimization and Control (math.OC)Modeling and SimulationBest responseFOS: MathematicseducationMathematical economicsGame theoryMathematics - Optimization and Controlpopulation games
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