Results 301 to 310 of about 359,884 (359)
SSRN Electronic Journal, 2013 AbstractWe model retail price stickiness as the result of costly, error‐prone decision making. Under our assumed cost function for the precision of choice, the timing of price adjustments and the prices firms set are both logit random variables. Errors in the prices firms set help explain micro facts related to the size of price changes, the behavior ...
Anton Nakov, James Costain
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Proceedings of the AAAI Conference on Artificial Intelligence, 2022
Features, logits, and labels are the three primary data when a sample passes through a deep neural network. Feature perturbation and label perturbation receive increasing attention in recent years. They have been proven to be useful in various deep learning approaches.
Mengyang Li +3 more
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Features, logits, and labels are the three primary data when a sample passes through a deep neural network. Feature perturbation and label perturbation receive increasing attention in recent years. They have been proven to be useful in various deep learning approaches.
Mengyang Li +3 more
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Multinomial Logit Specification Tests
International Economic Review, 1985This paper considers tests of the multinomial logit (MNL) model against unspecified alternative models. The test we propose avoids both the asymptotic bias of the likelihood ratio test originally suggested by \textit{D. McFadden}, \textit{K. Train} and \textit{W. Tye} [An application of diagnostic tests for the independence from irrelevant alternatives
Hsiao, Cheng, Small, K.
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Logit statico, Logit dinamico e modelli hazard
2022The application of survival analysis to credit risk has received a lot of attention and is the base of many empirical research. Here that analysis has been applied to a sample of Italian corporates working in the metallurgical sector. The survival analysis in the discrete and continuous domains have been compared to the traditional static logit ...
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CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS
Advances in Adaptive Data Analysis, 2011For a categorical variable with several outcomes, its dependence on the predictors is usually considered in the conditional or multinomial logit models. This work considers elasticity features of the binary and categorical logits and introduces the coefficients individual by observations.
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ACM SIGecom Exchanges, 2013
We describe logit dynamics, which are used to model bounded rationality in games, and their related equilibrium concept, the logit equilibrium. We also present some results about the convergence time of these dynamics and introduce a suitable approximation of the logit equilibrium.
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We describe logit dynamics, which are used to model bounded rationality in games, and their related equilibrium concept, the logit equilibrium. We also present some results about the convergence time of these dynamics and introduce a suitable approximation of the logit equilibrium.
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Generalized Logit Dynamics Based on Rational Logit Functions
Dynamic Games and ApplicationszbMATH Open Web Interface contents unavailable due to conflicting licenses.
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