The package Biogeme (biogeme. epfl. ch) is designed to estimate the parameters of various
models using maximum likelihood estimation. It is particularly designed for discrete choice …

The package PythonBiogeme (biogeme. epfl. ch) is designed to estimate the parameters of
various models using maximum likelihood estimation. It is particularly designed for discrete …

The package Biogeme (biogeme. epfl. ch) is designed to estimate the parameters of various
models using maximum likelihood estimation. It is particularly designed for discrete choice …

The package Biogeme (biogeme. epfl. ch) is designed to estimate the parameters of various
models using maximum likelihood estimation. It is particularly designed for discrete choice …

This paper introduces mixl, a new R package for the estimation of advanced choice models.
The estimation of such models typically relies on simulation methods with a large number of …

The community of choice modellers has expanded substantially over recent years, covering
many disciplines and encompassing users with very different levels of econometric and …

Since its inception, the choice modelling field has been dominated by theory-driven
modelling approaches. Machine learning offers an alternative data-driven approach for …

The search for flexible models has led the simple multinomial logit model to evolve into the
powerful but computationally very demanding mixed multinomial logit (MMNL) model. That …

As datasets capturing human choices grow in richness and scale, particularly in online
domains, there is an increasing need for choice models flexible enough to handle data that …

We obtain a necessary and sufficient condition under which random-coefficient discrete
choice models such as the mixed logit models are rich enough to approximate any …