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Towards Intelligent Modeling: Statistical Approximation Theory
The main idea of statistical convergence is to demand convergence only for a majority of elements of a sequence. This method of convergence has been investigated in many fundamental areas of mathematics such as: measure theory, approximation theory ...
Duman, Oktay +4 more
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Statistical Entropy in General Equilibrium Theory [PDF]
This essay seeks to develop an integrated account of the workings of statistical mechanics and thermodynamics as a theory of economic equilibrium. It begins with a probabilistic description of general systems (made out of numerous elements), based on the
Panagis Liossatos
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The observation of the actual behavior by economic decision makers in the lab and in the field justifies that bounded rationality has been a generally accepted assumption in many socio-economic models.
Penelope Hernandez, Coralio Ballester
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Sequential extensions of causal and evidential decision theory
Moving beyond the dualistic view in AI where agent and environment are separated incurs new challenges for decision making, as calculation of expected utility is no longer straightforward.
Jan Leike +5 more
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The Sequencing Problem in Sequential Investigation Processes [PDF]
Many decision problems in various fields of application can be characterized as diagnostic problems trying to assess the true state (of the world) of given cases.
Jürgen-Peter Kretschmer
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ORDINARY AND GENERALIZED STOCHASTIC DOMINANCE: A PRIMER [PDF]
Research Methods/ Statistical Methods,
Eidman, Vernon R. +3 more
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Limit theorems for the number of occupied boxes in the Bernoulli sieve [PDF]
The Bernoulli sieve is a version of the classical `balls-in-boxes' occupancy scheme, in which random frequencies of in¯nitely many boxes are produced by a multiplicative renewal process, also known as the residual allocation model or stick-breaking.
Sub Stochastics and Decision Theory begr +4 more
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Asymptotic theory of integrated conditional moment tests [PDF]
In this paper we derive the asymptotic distribution of the test statistic of a generalized version of the integrated conditional moment (ICM) test of Bierens (1982, 1984), under a class of Vn-local alternatives, where n is the sample size.
Ploberger, W., Bierens, H.J.
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Constructive Decision Theory [PDF]
Contemporary approaches to decision making describe a decision problem by sets of states and outcomes, and a rich set of acts: functions from states to outcomes over which the decision maker (DM) has preferences. Real problems do not come so equipped. It
Easley, David +2 more
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Sequential Decision Making For Choice Functions On Gambles [PDF]
Choice functions on gambles (uncertain rewards) provide a framework for studying diverse preference and uncertainty models. For single decisions, applying a choice function is straightforward.
HUNTLEY, NATHAN
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