Motivated by the common use of softmax selection in models of human decision-making, we study the maximum-likelihood (ML) parameter estimation problem for ...

Nov 24, 2015 · Abstract: We contribute to the development of a systematic means to infer features of human decision-making from behavioral data.

Feb 16, 2015 · Motivated by the common use of softmax selection in models of human decision-making, we study the maximum likelihood parameter estimation ...

Dec 5, 2024 · To extend these results to models with nonlinear objective functions, we show how the estimator can be applied by linearizing about a nominal ...

The maximum-likelihood parameter estimation problem for softmax decision-making models with linear objective functions is studied and conditions under which ...

Aug 29, 2015 · We call the reduced problem the parameter estimation problem for softmax decision-making models with linear objective functions. The problem of ...

In the case of models with nonlinear objective functions, we show how the estimator can be applied by linearizing about a nominal parameter value. We apply the ...

Motivated by the common use of softmax selection in models of human decision-making, we study the maximum-likelihood (ML) parameter estimation problem for ...

Dive into the research topics of 'Parameter estimation in softmax decision-making models with linear objective functions'. Together they form a unique ...

Aug 13, 2018 · Bibliographic details on Parameter estimation in softmax decision-making models with linear objective functions.