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Estimation of discrete choice models: extending BIOGEME

Publications associées (59)

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Mode choice with attitudinal latent class: a Swiss case-study

Michel Bierlaire, Aurélie Glerum, Bilge Atasoy

Attitudinal attributes play an important role in behavior of individuals in various contexts. In this study we focus on the travel behavior and our main objective is to come up with segments of individuals that have different mode choice preferences with t ...

2011

A behavioral departure time choice model with latent arrival time preference and rewards for peak-hour avoidance

Michel Bierlaire

Departure time choice modeling has been part of main stream travel behavior research for more than three decades. Congestion management schemes are based on the assumption that travelers optimize their departure time choice. Ever since Vickrey, in the late ...

2010

Choice probability generating functions

Michel Bierlaire

This paper establishes that every random utility discrete choice model (RUM) has a representation that can be characterized by a choice-probability generating function (CPGF) with specific properties, and that every function with these specific properties ...

2010

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

Discrete choice models are constantly in evolution in the literature. Since they enable to capture wide range of situations, they have been widely used by researchers and also practitioners in several fields of applications including econometrics and trans ...

2009

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

2009

Systematically heterogeneous covariance in network GEV Models

Jeffrey Newman

Mixed logit models can represent heterogeneity across individuals, in both observed and unobserved preferences, but require computationally expensive calculations to compute probabilities. A few methods for including error covariance heterogeneity in a clo ...

2009

Systematically heterogeneous covariance in network GEV models

Jeffrey Newman

2009

Properties, advantages, and drawbacks of the block logit model

Michel Bierlaire, Jeffrey Newman

This paper proposes a block logit (BL) model, which is an alternative approach to incorporating covariance between the random utilities of alternatives into a GEV random utility maximization model. The BL is similar to the nested logit (NL), in that it is ...

2009

Estimation of discrete choice models under various sampling strategies

Michel Bierlaire

We first review the impact of various sampling strategies on the estimation of discrete choice models. In particular, consistent estimates of all parameters of a multinomial logit (MNL) model, except the constants, can be obtained from an exogenous sample ...

2009

The estimation of Generalized Extreme Value models from choice-based samples

Michel Bierlaire

In the presence of choice-based sampling strategies for data collection, the property of Multinomial Logit (MNL) models, that consistent estimâtes of all parameters but the constants can be obtained from an Exogenous Sample Maximum Likelihood (ESML) estima ...

2008