The maximum entropy principle can be used to assign utility values when only partial information is available about the decision maker’s preferences. In order to obtain such utility values it is necessary to establish an analogy between probability and utility through the notion of a utility density function. In this paper we explore the maximum entropy principle to estimate the utility function of a risk averse decision maker
In this thesis, we investigate the properties of entropy as an alternative measure of risk. Entropy ...
The purpose of this M.A. thesis was to introduce the concept of entropy and then show the Principle ...
Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource cost...
We apply the maximum entropy principle to economic systems in equilibrium and find the density funct...
Methodologies related to information theory have been increasingly used in studies in economics and ...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
We review a decision theoretic, i.e., utility-based, motivation for entropy and Kullback-Leibler rel...
This paper estimates von Neumann and Morgenstern utility functions using the generalized maximum ent...
This thesis is a formal presentation of entropy and related principles as they relate to probability...
Information measures arise in many disciplines, including forecasting (where scoring rules are used ...
A coherent statistical methodology is necessary for analyzing and understanding complex economic sys...
The optimal distribution of the subjective individual preferences functions delivers the maximal mag...
In many practical situations, we have only partial information about the probabilities. In some case...
In the first part of the paper we work out the consequences of the fact that Jaynes’ Maximum Entropy...
Traditionally, the Maximum Entropy technique is used to select a probability distribution in situati...
In this thesis, we investigate the properties of entropy as an alternative measure of risk. Entropy ...
The purpose of this M.A. thesis was to introduce the concept of entropy and then show the Principle ...
Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource cost...
We apply the maximum entropy principle to economic systems in equilibrium and find the density funct...
Methodologies related to information theory have been increasingly used in studies in economics and ...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
We review a decision theoretic, i.e., utility-based, motivation for entropy and Kullback-Leibler rel...
This paper estimates von Neumann and Morgenstern utility functions using the generalized maximum ent...
This thesis is a formal presentation of entropy and related principles as they relate to probability...
Information measures arise in many disciplines, including forecasting (where scoring rules are used ...
A coherent statistical methodology is necessary for analyzing and understanding complex economic sys...
The optimal distribution of the subjective individual preferences functions delivers the maximal mag...
In many practical situations, we have only partial information about the probabilities. In some case...
In the first part of the paper we work out the consequences of the fact that Jaynes’ Maximum Entropy...
Traditionally, the Maximum Entropy technique is used to select a probability distribution in situati...
In this thesis, we investigate the properties of entropy as an alternative measure of risk. Entropy ...
The purpose of this M.A. thesis was to introduce the concept of entropy and then show the Principle ...
Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource cost...