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Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data. (2016). Buddhavarapu, Prasad ; Prozzi, Jorge A ; Scott, James G.
In: Transportation Research Part B: Methodological.
RePEc:eee:transb:v:91:y:2016:i:c:p:492-510.

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  1. A flexible non-normal random coefficient multinomial probit model: Application to investigating commuters mode choice behavior in a developing economy context. (2025). Pinjari, Abdul Rawoof ; Mondal, Aupal ; Bhat, Chandra R.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:195:y:2025:i:c:s0191261525000359.

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  2. A hierarchical Bayesian logit model for spatial multivariate choice data. (2024). Oyama, Yuki ; Krueger, Rico ; Murakami, Daisuke.
    In: Journal of choice modelling.
    RePEc:eee:eejocm:v:52:y:2024:i:c:s1755534524000356.

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  3. Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions. (2023). Mokhtarian, Patricia ; Kim, Sung Hoo.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:172:y:2023:i:c:p:134-173.

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  4. Impacts of Real-Time Traffic State on Urban Expressway Crashes by Collision and Vehicle Type. (2022). Li, Siyao ; Zhong, Ming ; Zhang, Hui ; Wang, Chen.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:4:p:2238-:d:750610.

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  5. A Random-Parameter Negative Binomial Model for Assessing Freeway Crash Frequency by Injury Severity: Daytime versus Nighttime. (2022). Bo, WU ; Cui, Suping ; Zhang, Ping ; Cheng, Jianchuan ; Wang, Chenzhu.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:15:p:9061-:d:870290.

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  6. Modeling of Low Visibility-Related Rural Single-Vehicle Crashes Considering Unobserved Heterogeneity and Spatial Correlation. (2021). Wang, Zhenyu ; Cai, Zhenggan ; Guo, Yongqing ; Li, Xin ; Chen, Long ; Wei, Fulu.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:13:p:7438-:d:587539.

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  7. A new spatial count data model with time-varying parameters. (2021). Bansal, Prateek ; Buddhavarapu, Prasad ; Prozzi, Jorge A.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:150:y:2021:i:c:p:566-586.

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  8. Crash prediction based on random effect negative binomial model considering data heterogeneity. (2020). Guo, Zhongyin ; Zhang, Ying ; Yan, Ying ; Yang, Xiangli ; Tang, Jinjun.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:547:y:2020:i:c:s0378437119321430.

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  9. Role of road network features in the evaluation of incident impacts on urban traffic mobility. (2018). Zhang, Zuo ; Wang, Yewen ; Pei, Xin ; Wong, S C ; Hao, Junheng ; Sun, Chenshuo.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:117:y:2018:i:pa:p:101-116.

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  10. A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior. (2017). Ye, Xin ; Garikapati, Venu M ; Pendyala, Ram M ; You, Daehyun.
    In: Transportation Research Part B: Methodological.
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    In: Journal of Econometrics.
    RePEc:eee:econom:v:133:y:2006:i:1:p:243-271.

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  41. Generalized Reverse Discrete Choice Models. (2005). Misra, Sanjog.
    In: Quantitative Marketing and Economics (QME).
    RePEc:kap:qmktec:v:3:y:2005:i:2:p:175-200.

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  42. Recent Progress on Endogeneity in Choice Modeling. (2005). Waldman, Donald ; Train, Kenneth ; Hensher, David ; Greene, William ; Fiebig, Denzil ; Cameron, Trudy ; Carson, Richard ; Brownstone, David ; Louviere, Jordan ; DeShazo, J. ; Bhat, Chandra ; Ben-Akiva, Moshe.
    In: Marketing Letters.
    RePEc:kap:mktlet:v:16:y:2005:i:3:p:255-265.

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  43. An analysis of multiple interepisode durations using a unifying multivariate hazard model. (2005). Srinivasan, Sivaramakrishnan ; Axhausen, Kay W. ; Bhat, Chandra R..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:39:y:2005:i:9:p:797-823.

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  44. A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions. (2005). Bhat, Chandra R..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:39:y:2005:i:8:p:679-707.

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  45. Simulation-based estimation of peer effects. (2004). Krauth, Brian.
    In: Econometrics.
    RePEc:wpa:wuwpem:0408002.

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  46. A mixed multinomial logit model analysis of weekend recreational episode type choice. (2004). Gossen, Rachel ; Bhat, Chandra R..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:38:y:2004:i:9:p:767-787.

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  47. On distinguishing between physically active and physically passive episodes and between travel and activity episodes: an analysis of weekend recreational participation in the San Francisco Bay area. (2004). Bhat, Chandra ; Lockwood, Allison.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:38:y:2004:i:8:p:573-592.

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  48. Alternative sampling methods for estimating multivariate normal probabilities. (2004). Sandor, Zsolt ; Andras, Peter P..
    In: Journal of Econometrics.
    RePEc:eee:econom:v:120:y:2004:i:2:p:207-234.

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  49. ‘Estimation of Discrete Choice Models Using DCM for Ox’. (2004). Weeks, Melvyn ; Eklöf, Matias.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:0427.

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  50. Discrete choice methods with simulation, Kenneth E. Train, Cambridge University Press, 2003, ISBN: 0-521-81696-3, pp. 334. (2003). Weeks, Melvyn.
    In: Journal of Applied Econometrics.
    RePEc:jae:japmet:v:18:y:2003:i:3:p:379-383.

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