A multidimensional mixed ordered-response model for analyzing weekend activity participation
By Chandra R. Bhat, Sivaramakrishnan Srinivasan. 2005
147 citations recorded by the source corpus.
Subfields: Automotive Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/875af73a1812c2c83788fb58cfac7279df6146aa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Rajesh Paleti
- Nazneen Ferdous
- K. Abay
- Cristiano Varin
- Chandra R. Bhat
- Joseph Y. J. Chow
- W. Recker
- D. Chatman
In Transportation
- Chandra R. Bhat
- Rajesh Paleti
- K. Abay
- Jessica Y. Guo
- Cristiano Varin
- Nazneen Ferdous
- Naveen Eluru
- Abdul Rawoof Pinjari
Citations in the corpus
- A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2005, background): “of Manchanda et al. (1999), Baltas (2004), Edwards and Allenby (2003), and Bhat and Srinivasan (2004) .”
- A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered-response model (2010, methodology): “In the context of a frequentist approach, Bhat and Srinivasan (2005) suggested a maximum simulated likelihood (MSL) method for evaluating the multi-dimensional integral in a crosssectional multivariate ordered response model system, using quasi-Monte Carlo simulation methods proposed by Bhat (2001;…”
- Joint Analysis of Injury Severity of Drivers in Two-Vehicle Crashes Accommodating Seat Belt Use Endogeneity (2013, methodology): “This is maintained by adopting the procedure proposed by Bhat and Srinivasan (2005) for assuring a positive definite correlation matrix.”
- A Comprehensive Analysis of Built Environment Characteristics on Household Residential Choice and Auto Ownership Levels (2007, background): “associated with less of pick up/drop off activity episodes, but more of recreational episodes (see Bhat and Srinivasan, 2005 ).”
- The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions (2008, methodology): “Another approach is to use the multivariate probit (logit) methods of Manchanda et al. (1999), Baltas (2004), Edwards and Allenby (2003), and Bhat and Srinivasan (2005).”