Results 21 to 30 of about 179,468 (342)
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
openaire +2 more sources
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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Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations [PDF]
Transportation Research Part B: Methodological, 2019 Variational Bayes (VB) methods have emerged as a fast and computationally-efficient alternative to Markov chain Monte Carlo (MCMC) methods for Bayesian estimation of mixed multinomial logit (MMNL) models.
P. Bansal +4 more
semanticscholar +1 more source
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
doaj +1 more source
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality [PDF]
AAAI Conference on Artificial Intelligence, 2019 We consider a sequential assortment selection problem where the user choice is given by a multinomial logit (MNL) choice model whose parameters are unknown. In each period, the learning agent observes a d-dimensional contextual information about the user
Min-hwan Oh, G. Iyengar
semanticscholar +1 more source
Testing the Multinomial Logit Model [PDF]
, 2000 A general test to check the adequateness of a regression model against nonparametric alternatives is presented. This test procedure is then applied to the well known multinomial logit model and its power is considered in a simulation study. Finally, the multinomial logit model is tested for a real scanner panel data set.
Bartels, K. +4 more
openaire +6 more sources
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
doaj +1 more source
Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints [PDF]
, 2009 In multinomial logit models, the identifiability of parameter estimates is typically obtained by side constraints that specify one of the response categories as reference category.
Tutz, Gerhard, Zahid, Faisal Maqbool
core +1 more source
PEMBELAJARAN MESIN UNTUK MENILAI KELAYAKAN KREDIT PROYEK RETROFIT: MULTINOMIAL LOGIT
Akuntansi dan Teknologi Informasi, 2022 Creditworthiness assessment was one of the first areas to apply machine learning techniques in economics. The creditworthiness of retrofit protection was vital for ESCO in determining the credit scoring.
Eka Sudarmaji +2 more
doaj +1 more source