International audienceWe provide a characterisation of choice behaviour generated by a Bayesian expected utility maximiser. The observable signature of this standard model is the impossibility of raising utility by switching wholesale from one action to another. We provide applications to robustness, to the recovery of utility from choice data and to model classification
This dissertation investigates the empirical content of one of the most basic assumptions in economi...
Tesis (Magíster en Ingeniería Industrial) -- Universidad del Norte. Programa de Maestría Ingeniería ...
This paper develops a model of demand estimation in which consumers learn about their true preferenc...
International audienceWe provide a characterisation of choice behaviour generated by a Bayesian expe...
This article presents a new model for decision-making under risk, which provides an explanation for ...
Individuals often have only incompletely known preferences when choosing between pair-wise gambles. ...
none1noThis paper identifies the globally stable conditions under which an individual facing the sam...
This paper adopts an approach based on the concepts of random utility maximization and builds on the...
An important use of machine learning is to learn what people value. What posts or photos should a us...
We consider three competing normative theories of how to make choices when facing uncertainty: subj...
Direct utility models of consumer choice are reviewed and developed for understanding consumer prefe...
Traditional economic theory of the consumer assumes the existence of perfect information. However, i...
We study the learning problem of revealed preference in a stochastic setting: a learner observes the...
In this paper, we present a generic approach that can be used to infer how subjects make optimal dec...
This paper proposes an approach to welfare measurement with random utility models that, in contrast ...
This dissertation investigates the empirical content of one of the most basic assumptions in economi...
Tesis (Magíster en Ingeniería Industrial) -- Universidad del Norte. Programa de Maestría Ingeniería ...
This paper develops a model of demand estimation in which consumers learn about their true preferenc...
International audienceWe provide a characterisation of choice behaviour generated by a Bayesian expe...
This article presents a new model for decision-making under risk, which provides an explanation for ...
Individuals often have only incompletely known preferences when choosing between pair-wise gambles. ...
none1noThis paper identifies the globally stable conditions under which an individual facing the sam...
This paper adopts an approach based on the concepts of random utility maximization and builds on the...
An important use of machine learning is to learn what people value. What posts or photos should a us...
We consider three competing normative theories of how to make choices when facing uncertainty: subj...
Direct utility models of consumer choice are reviewed and developed for understanding consumer prefe...
Traditional economic theory of the consumer assumes the existence of perfect information. However, i...
We study the learning problem of revealed preference in a stochastic setting: a learner observes the...
In this paper, we present a generic approach that can be used to infer how subjects make optimal dec...
This paper proposes an approach to welfare measurement with random utility models that, in contrast ...
This dissertation investigates the empirical content of one of the most basic assumptions in economi...
Tesis (Magíster en Ingeniería Industrial) -- Universidad del Norte. Programa de Maestría Ingeniería ...
This paper develops a model of demand estimation in which consumers learn about their true preferenc...
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