Results 21 to 30 of about 167,597 (287)
Communications in statistics. Simulation and computation, 2021 In this article, we propose generalized two-parameter (GTP) estimators and an algorithm for the estimation of shrinkage parameters to combat multicollinearity in the multinomial logit regression model.
Rasha A. Farghali +3 more
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Optimal model averaging estimator for multinomial logit models
Statistical Theory and Related Fields, 2022 In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used in many scientific fields.
Rongjie Jiang, Liming Wang, Yang Bai
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A spatial multinomial logit model for analysing urban expansion [PDF]
Spatial Economic Analysis, 2020 The paper proposes a Bayesian multinomial logit model to analyse spatial patterns of urban expansion. The specification assumes that the log-odds of each class follow a spatial autoregressive process.
Tamás Krisztin +2 more
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Assortment Optimization under the Sequential Multinomial Logit Model [PDF]
European Journal of Operational Research, 2017 We study the assortment optimization problem under the Sequential Multinomial Logit (SML), a discrete choice model that generalizes the multinomial logit (MNL). Under the SML model, products are partitioned into two levels, to capture differences in attractiveness, brand awareness and, or visibility of the products in the market.
Álvaro Flores +2 more
semanticscholar +6 more sources
Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain
Journal of Advanced Transportation, 2021 Exploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy.
Xiaowei Li +4 more
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General Deep Multinomial Logit Model
Computing and Informatics, 2022 Multinomial logit model (MNL) is by far the most widely used discrete choice model that is widely used to explain or predict a choice from a set of two or more discrete alternatives. MNL operates within a framework of the random utility model (RUM) in which the utility of an alternative perceived by an individual consists of two components: systematic ...
Su, Peng, Liu, Yuan, Zhao, Lingyun
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Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data
Journal of Advanced Transportation, 2022 Mode choice behaviour is often modelled by discrete choice models, in which the utility of each mode is characterized by mode-specific parameters reflecting how strongly the utility of that mode depends on attributes such as travel speed and cost, and a ...
Gijsbert Koen de Clercq +3 more
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Multinomial logit random effects models [PDF]
Statistical Modelling, 2001 This article presents a general approach for logit random effects modelling of clustered ordinal and nominal responses. We review multinomial logit random effects models in a unified form as multivariate generalized linear mixed models. Maximum likelihood estimation utilizes adaptive Gauss-Hermite quadrature within a quasi-Newton maximization ...
Hartzel, Jonathan +2 more
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Bayesian Inference in the Multinomial Logit Model
Austrian Journal of Statistics, 2016 The multinomial logit model (MNL) possesses a latent variable representation in terms of random variables following a multivariate logistic distribution.
Sylvia Frühwirth-Schnatter +1 more
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Comparative Study of Logit and Weibit Model in Travel Mode Choice
IEEE Access, 2020 To quantify travel demand, it is necessary to understand the travelers' mode choice behavior. The Logit model is widely used in travel mode choice because of its closed form.
Dawei Li, Wentong Wu, Yuchen Song
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