Biogeme examples for the Swissmetro dataΒΆ
You find here several examples of models that can be estimated and simulated with Biogeme.
The example 28. Explicit parameter overrides in a simple model introduces explicit parameter
overrides. It shows how to replace a Beta by a fixed Beta or by a
numeric expression before constructing the BIOGEME object.
The example 27. Post-estimation Monte Carlo draw-stability diagnostic illustrates the post-estimation Monte Carlo draw-stability diagnostic. It evaluates the objective and gradient at the fixed estimates with fresh draw designs of increasing size. The diagnostic can be interrupted and resumed; it writes a raw YAML checkpoint and an American-English Markdown report separately from the ordinary estimation result.
28. Explicit parameter overrides in a simple model
1c. Illustration of the quick_estimate method in Biogeme
17b. Mixture with lognormal distribution and numerical integration
6b. Mixture of logit models with uniform MLHS draws
6a. Mixture of logit models with uniform distribution
5b. Mixture of logit models with numerical integration
5a. Mixture of logit models with Monte-Carlo integration
6c. Mixture of logit models with uniform distribution and numerical integration
14. Nested logit with corrections for endogeneous sampling
12bis. Mixture of logit with panel data and segmented ASC
27. Post-estimation Monte Carlo draw-stability diagnostic
