Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application
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[1] F. Koppelman,et al. Alternative nested logit models: structure, properties and estimation , 1998 .
[2] H. Williams. On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit , 1977 .
[3] Emily Lancsar,et al. Best worst discrete choice experiments in health: methods and an application. , 2013, Social science & medicine.
[4] Stephane Hess,et al. Recovery of inter- and intra-personal heterogeneity using mixed logit models , 2011 .
[5] Moshe Ben-Akiva,et al. Hybrid choice models , 2014 .
[6] Dirk Eddelbuettel,et al. Rcpp: Seamless R and C++ Integration , 2011 .
[7] Sanford Weisberg. Computing Primer for Applied Linear Regression, Third Edition , 2005 .
[8] Stephane Hess,et al. On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice , 2006 .
[9] J. Townsend,et al. Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.
[10] Michel Bierlaire,et al. BIOGEME: a free package for the estimation of discrete choice models , 2003 .
[11] I. Krinsky,et al. On Approximating the Statistical Properties of Elasticities , 1986 .
[12] Michel Bierlaire,et al. A Heuristic for Nonlinear Global Optimization , 2010, INFORMS J. Comput..
[13] Andrew Daly,et al. Calculating Errors for Measures Derived from Choice Modeling Estimates , 2012 .
[14] Arne Henningsen,et al. maxLik: A package for maximum likelihood estimation in R , 2011, Comput. Stat..
[15] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[16] Stephane Hess,et al. An accumulation of preference: Two alternative dynamic models for understanding transport choices , 2021, Transportation Research Part B: Methodological.
[17] Stefan Lindhard Mabit,et al. Easy and flexible mixture distributions , 2013 .
[18] A. Daly,et al. Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour , 2012 .
[19] Jeff Dumont,et al. Functions for Hierarchical Bayesian Estimation: A FlexibleApproach , 2015 .
[20] J. Halton. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals , 1960 .
[21] S. Hess,et al. Understanding the formation and influence of attitudes in patients' treatment choices for lower back pain: testing the benefits of a hybrid choice model approach. , 2014, Social science & medicine.
[22] David A. Hensher,et al. Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model , 2010 .
[23] Daniel McFadden,et al. Modelling the Choice of Residential Location , 1977 .
[24] C. Bhat. The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions , 2008 .
[25] J. Townsend,et al. Fundamental derivations from decision field theory , 1992 .
[26] Joan L. Walker,et al. How, when and why integrated choice and latent variable models are latently useful , 2016 .
[27] A. Daly,et al. Handbook of Choice Modelling , 2014 .
[28] Chandra R. Bhat,et al. A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-Use and Timing Behavior on Weekdays , 2010 .
[29] Stephane Hess,et al. Advanced discrete choice models with applications to transport demand , 2005 .
[30] Andrew Daly,et al. Estimating “tree” logit models , 1987 .
[31] K. Train. Discrete Choice Methods with Simulation , 2003 .
[32] Stephane Hess,et al. Latent class structures: taste heterogeneity and beyond , 2014 .
[33] John Geweke,et al. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments , 1991 .
[34] T. Hassard,et al. Applied Linear Regression , 2005 .
[35] Peter Vovsha,et al. Application of Cross-Nested Logit Model to Mode Choice in Tel Aviv, Israel, Metropolitan Area , 1997 .
[36] F. Koppelman,et al. The generalized nested logit model , 2001 .
[37] Turalay Kenc,et al. Ox: An Object-Oriented Matrix Language , 1997 .
[38] Palma Araneda,et al. Modelling wine consumer preferences using hybrid choice models : inclusion of intrinsic and extrinsic attributes , 2016 .