Quasi-Random Simulation of Discrete Choice Models
نویسنده
چکیده
We describe the properties of (t,m, s)-nets and Halton draws. Four types of (t,m, s)-nets, two types of Halton draws, and independent draws are compared in an application of maximum simulated likelihood estimation of a mixed logit model. All of the quasi-random procedures are found to perform far better than independent draws. The best performance is attained by one of the (t,m, s)-nets. The properties of the nets imply that two of them should out-perform the other two, and our results comfirm this expectation. The two more-accurate nets perform better than both types of Halton draws, while the two lessaccurate nets perform worse than the Halton draws.
منابع مشابه
Simulation Estimation of Mixed Discrete Choice Models Using Randomized and Scrambled Halton Sequences
The use of simulation techniques has been increasing in recent years in the transportation and related fields to accommodate flexible and behaviorally realistic structures for analysis of decision processes. This paper proposes a randomized and scrambled version of the Halton sequence for use in simulation estimation of discrete choice models. The scrambling of the Halton sequence is motivated ...
متن کاملOn the Performance of the Shuffled Halton Sequence in the Estimation of Discrete Choice Models
The area of travel demand analysis has in recent years been greatly enriched by the development of new model forms that can accommodate complex patterns of substitution and taste variation. However, this added flexibility comes at a cost of greater complexity in estimation, to the degree that these models need to be estimated through simulation. While basic Monte-Carlo integration can lead to a...
متن کاملQuasi-Random Maximum Simulated Likelihood Estimation of the Mixed Multinomial Logit Model
This paper proposes the use of a quasi-random sequence for the estimation of the mixed multinomial logit model. The mixed multinomial structure is a flexible discrete choice formulation which accommodates general patterns of competitiveness as well as heterogeneity across individuals in sensitivity to exogenous variables. The estimation of this model has been achieved in the past using the pseu...
متن کاملOn Calibration and Application of Logit-Based Stochastic Traffic Assignment Models
There is a growing recognition that discrete choice models are capable of providing a more realistic picture of route choice behavior. In particular, influential factors other than travel time that are found to affect the choice of route trigger the application of random utility models in the route choice literature. This paper focuses on path-based, logit-type stochastic route choice models, i...
متن کاملProbit and nested logit models based on fuzzy measure
Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among the attributes. Besides the DM's attitudinal character is also taken into consideration in the computation of choice probabilities. The proposed choice models make us...
متن کامل