A multi-level cross-classified model for discrete response variables

By Chandra R. Bhat. 2000

141 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Numerical Analysis, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b8d83866e63e7976d34cec7a9ea3431bb432ba8a

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In Management Science and Operations Research

In Numerical Analysis

In Statistics and Probability

Citations in the corpus

On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice (2006, background): “…Halton sequences can lead to significant improvements in estimation efficiency compared to pseudo-random number sequences, and have been used successfully in different areas of science, including transportation; see for example Bhat (1999), Train (1999), Bhat (2000) and Hess and Polak (2004).”
Multilevel analysis of daily time use and time allocation to activity types accounting for complex covariance structures using correlated random effects (2002, methodology): “A few earlier applications are the introduction of multilevel and contextual philosophy in Ma and Goulias (1997), an error components four-level binary analysis for mode choice constraints in Goulias (1999b), and the discrete choice models accounting for spatial clustering in Bhat (2000).”
Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model (2001, methodology): “$' (( N ,µ N ) N x qi '(y N qi ,z N qi ) N , the choice probability of alternative i for individual q. Applications of the error-components formulation include Brownstone and Train (1999) and Bhat (1998a, 1999b).”
Halton Sequences for Mixed Logit (2000, methodology): “In the only application of these procedures to mixed logits to my knowledge, Bhat (1999a)2 tested Halton sequences for mixed logit estimation and found their use to be vastly superior to random draws.”
The impact of metropolitan structure on commute behavior in the Netherlands: a multilevel approach (2004, unknown): “This type of analysis has only recently been introduced to the analysis of commute patterns (e.g., Bhat 2000; Snellen, Borgers, and Timmermans 2002; Schwanen and Dijst 2002”