Choice models with one latent variable

You find here several examples of so called “hybrid choice models”, discussed in Bierlaire (2018) Estimating choice models with latent variables with PandasBiogeme

Factor analysis

Factor analysis

Measurement equations: continuous indicators

Measurement equations: continuous indicators

Measurement equations: discrete indicators

Measurement equations: discrete indicators

Mixture of logit

Mixture of logit

Choice model with a latent variable: sequential estimation

Choice model with a latent variable: sequential estimation

Choice model with a latent variable: sequential estimation (Monte-Carlo)

Choice model with a latent variable: sequential estimation (Monte-Carlo)

Choice model with a latent variable: maximum likelihood estimation

Choice model with a latent variable: maximum likelihood estimation

Choice model with a latent variable: maximum likelihood estimation (Monte-Carlo)

Choice model with a latent variable: maximum likelihood estimation (Monte-Carlo)

Serial correlation

Serial correlation

Illustration of a common estimation problem

Illustration of a common estimation problem

Investigation of the estimation problem

Investigation of the estimation problem

Read of estimate

Read of estimate