2018 6th Learning Seminar: “Parameter Estimation for NL and NXL Models”
[2018/05/18]
In the 6th seminar, Mr. Kawai (M1) and Ms. Koike (M1) in Asakura Laboratory were in charge of parameter estimation of Nested Model and Cross Nested Model.
This model is used when there is some correlation between alternatives when people make decisions. Mr. Kawai used Python biogeme, while Ms. Koike used R to estimate the model using the maxLik function introduced in the previous session.
