Brief Introduction
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Description
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.
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.
Knowledge
- 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
Logistic Regression in Python
- 4.1
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Logistic regression in Python tutorial for beginners. You can do Predictive modeling using Python after this course. You've found the right Classification modeling course!...
Ang’s Guide to Buying Cameras with Confidence
- 4.5
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Learn about different types of digital camera to help you find the perfect camera for you, and save money. • Need help with choosing cameras?...
Mastering Data Analysis in Excel
- 4.2
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Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake....
Operations Management: Analysis and Improvement Methods
- 4.6
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In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing and service-focused organizations....
