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Comparing Regression Coefficients Between Same-sample Nested Models Using Logit and Probit
Sociological Methodology, 2012K. Karlson, Anders Holm, R. Breen
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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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API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Conference on Empirical Methods in Natural Language ProcessingThis study aims to address the pervasive challenge of quantifying uncertainty in large language models (LLMs) without logit-access. Conformal Prediction (CP), known for its model-agnostic and distribution-free features, is a desired approach for various ...
Jiayuan Su +3 more
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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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Product-Line Pricing Under Discrete Mixed Multinomial Logit Demand
Manufacturing & Service Operations Management, 2019We study a product-line price optimization problem with demand given by a discrete mixed multinomial logit (MMNL) model.
Hongmin Li +3 more
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