Dubey Subodh, Oded Cats, Serge Hoogendoorn, and Prateek Bansal. "A multinomial probit model with Choquet integral and attribute cut-offs." Transportation Research Part B: Methodological 158 (2022): 140-163. Python code

Blake Miranda R., Subodh Dubey, Joffre Swait, Emily Lancsar, and Peter Ghijben. "An integrated modelling approach examining the influence of goals, habit and learning on choice using visual attention data." Journal of Business Research 117 (2020): 44-57. Gauss code

Dubey Subodh, Prateek Bansal, Ricardo A. Daziano, and Erick Guerra. "A generalized continuous-multinomial response model with a t-distributed error kernel." Transportation Research Part B: Methodological 133 (2020): 114-141. Python code

Astroza, S., Bhat, P. C., Bhat, C. R., Pendyala, R. M., & Garikapati, V. M. (2018). Understanding activity engagement across weekdays and weekend days: A multivariate multiple discrete-continuous modeling approach. Journal of choice modelling, 28, 56-70. Gauss code

Patil Priyadarshan N., Subodh Dubey, Abdul R. Pinjari, Elisabetta Cherchi, Ricardo Daziano, and Chandra R. Bhat. "Simulation evaluation of emerging estimation techniques for multinomial probit models." Journal of choice modelling 23 (2017): 9-20. Gauss code Python code

Bhat Chandra R., Abdul R. Pinjari, Subodh Dubey, and Amin S. Hamdi. "On accommodating spatial interactions in a generalized heterogeneous data model (GHDM) of mixed types of dependent variables." Transportation Research Part B: Methodological 94 (2016): 240-263. Gauss code

Trinh, G., & Genz, A. (2015). Bivariate conditioning approximations for multivariate normal probabilities. Statistics and Computing, 25(5), 989-996. Gauss code

Bhat Chandra R., Subodh Dubey, and Kai Nagel. "Introducing non-normality of latent psychological constructs in choice modeling with an application to bicyclist route choice." Transportation Research Part B: Methodological 78 (2015): 341-363. Gauss code

Bhat Chandra R., Subodh Dubey, Mohammad Jobair Bin Alam, and Waleed H. Khushefati. "A new spatial multiple discrete‐continuous modeling approach to land use change analysis." Journal of Regional Science 55, no. 5 (2015): 801-841. Gauss code

Bhat, C. R. (2015). A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables. Transportation Research Part B: Methodological, 79, 50-77. Gauss code Python code

Bhat, C. (2015). A new spatial (social) interaction discrete choice model accommodating for unobserved effects due to endogenous network formation. Transportation, 42(5), 879-914. Gauss code

Bhat, Chandra R., and Subodh Dubey. "A new estimation approach to integrate latent psychological constructs in choice modeling." Transportation Research Part B: Methodological 67 (2014): 68-85. Gauss code

Code for Integrated choice and latent variable model with Multiple Discrete Continuous alternatives (ICLV-MDCP) Gauss code

Double Deep Q-Learning algorithm. Python code

Deep Deterministic Policy Gradient (DDPG) algorithm. Python code

Multi-agent Deep Deterministic Policy Gradient (DDPG) algorithm. Python code

CNN for image classification. Python code