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An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model
10 references·1 citing·43 second hop
An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model (2016)An Expectation-Maximization Algorithm to …A new estimation approach to integrate latent psychological constructs in choice modeling (2014)A new estimation approach to …The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models (2011)The maximum approximate compo…Latent variables and route choice behavior (2011)Latent variables and route ch…Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model (2011)Incorporating pro-environment…The combined effect of information and experience on drivers’ route-choice behavior (2007)The combined effect of inform…Joint Modeling of Advanced Travel Information Service, Habit, and Learning Impacts on Route Choice by Laboratory Simulator Experiments (2005)Joint Modeling of Advanced Tr…Discrete choice models incorporating revealed preferences and psychometric data (2004)Discrete choice models incorp…Integration of Choice and Latent Variable Models (2002)Integration of Choice and Lat…Structural Equations with Latent Variables (1989)Structural Equations with Lat…Scaling perceptions of reliability of urban travel modes using indscal and factor analysis methods (1979)Scaling perceptions of reliab…A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding (2020)A Dynamic Choice Model with H…Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model (2001)The effects of attitudes and personality traits on mode choice (2005)A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables (2015)Exploring the factors affecting women’s intention to drive in Saudi Arabia (2021)An analysis of individuals’ usage of bus transit in Bengaluru, India: Disentangling the influence of unfamiliarity with transit from that of subjective perceptions of service quality (2022)Orthogonal Rotation to Congruence (1966)Modern Factor Analysis (1968)Applied factor analysis (1970)Investigating the influence of the environmentalism and variety seeking on mode choice (2011)Commuter dependence on expressways when travelling to work (2013)Discrete Choice Methods with Simulation (2001)Economic Choices (2001)Discrete Choice Methods with Simulation (2003)Route choice stickiness of public transport passengers: Measuring habitual bus ridership behaviour using smart card data (2017)Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors (2018)An extension of the technology acceptance model for understanding travelers’ adoption of variable message signs (2019)Judgment under Uncertainty: Heuristics and Biases (1974)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Regret theory-based route choices and traffic equilibria (2011)Rewarding rush-hour avoidance: A study of commuters’ travel behavior (2011)Response to Travel Information: A Behavioural Review (2015)The Framing of Decisions and the Psychology of Choice (1981)Travel information as an instrument to change cardrivers’ travel choices: a literature review (2006)Conditional logit analysis of qualitative choice behavior (1972)Structural Equations with Latent Variables. (1991)About attitudes and perceptions: finding the proper way to consider latent variables in discrete choice models (2015)Environmental attitudes and place identity as determinants of preferences for ecosystem services (2020)Mixed MNL models for discrete response (2000)Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types (2015)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Psychology and Economics (1997)A non-compensatory choice model incorporating attribute cutoffs (2001)Extended discrete choice models : integrated framework, flexible error structures, and latent variables (2001)How, when and why integrated choice and latent variable models are latently useful (2016)Conjoint Analysis in Consumer Research: Issues and Outlook (1978)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Price Perceptions and Consumer Shopping Behavior: A Field Study (1993)Hybrid Choice Modeling of New Technologies for Car Choice in Canada (2008)Incorporating Latent Variables into Discrete Choice Models — A Simultaneous Estimation Approach Using SEM Software (2008)Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance (2002)PLS-SEM: Indeed a Silver Bullet (2011)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)
this work references cited by second hop

References

  • 1989Structural Equations with Latent Variables17,500 cited
  • 2002Integration of Choice and Latent Variable Models511 cited
  • 2011Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model230 cited
  • 2007The combined effect of information and experience on drivers’ route-choice behavior183 cited
  • 2011The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models178 cited
  • 2004Discrete choice models incorporating revealed preferences and psychometric data173 cited
  • 2011Latent variables and route choice behavior127 cited
  • 2014A new estimation approach to integrate latent psychological constructs in choice modeling127 cited
  • 2005Joint Modeling of Advanced Travel Information Service, Habit, and Learning Impacts on Route Choice by Laboratory Simulator Experiments126 cited
  • 1979Scaling perceptions of reliability of urban travel modes using indscal and factor analysis methods21 cited

Cited by

  • 2020A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding5 cited

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