Introduction to Discrete Choice Models (edX)

Introduction to Discrete Choice Models (edX)
Course Auditing
Categories
Effort
Certification
Languages
Statistics (bachelor level), linear regression
Misc

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Introduction to Discrete Choice Models (edX)
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling. Human behavior is complexand unpredictable. Or is it? The focus of this course is methods for predicting the behavior using mathematical models. More specifically, we'll explore choice modeling in order to obtain disaggregate demand models.

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Focusing on the logit model, the course covers the specification of the model, the estimation of its parameters, the validation process, andits application. Exercises using the software Biogeme are also part of its makeup. The course relies on concrete case studies with real data sets, which are provided in course content.




What you'll learn

- The behavioral assumptions associated with disaggregate choice models

- The derivation of operational models

- The art of model specification

- The estimation of model parameters from choice data

- The testing of model specifications

- Concrete applications of the estimated models


Syllabus


1. Introduction to behavior modeling

2. Theoretical foundations

3. Binary choice

4. Biogeme: an open-source software for estimating choice models

5. Choice with multiple alternatives

6. Testing

7. Forecasting



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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
144.00 EUR
Statistics (bachelor level), linear regression

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.