Results 11 to 20 of about 9,409 (258)
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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Learning to Rank under Multinomial Logit Choice [PDF]
J. Mach. Learn. Res., 2020 updated with new material including regret bound for unknown position bias ...
James A. Grant, David S. Leslie
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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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Journal of Statistical Software, 2017 This paper introduces the package gmnl in R for estimation of multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) data.
Mauricio Sarrias, Ricardo Daziano
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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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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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Application of Discrete Choice Models for Exploring Traveller’s Behaviour at Egyptian Transport Network [PDF]
Port Said Engineering Research Journal, 2018 Mode choice models generally form a critical part of the analysis of the travel demand of any study area in any country and have played an important role in transport modelling over the last decades.
Ahmed Semeida
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Multinomial logit models with implicit variable selection [PDF]
Advances in Data Analysis and Classification, 2013 Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this paper we are developing a boosting technique called multinomBoost that performs variable selection ...
Faisal Maqbool Zahid, Gerhard Tutz 0001
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