Lecture
Introduction to Behavior Modeling: Simple Example
Related lectures (52)
Behavior Modeling: Simple ExampleMOOC: Introduction to Discrete Choice Models
Introduces behavior modeling through a simple example, focusing on analyzing the market for electric cars.
Developing a Model
Covers the development of a model to identify stable causal relationships between variables.
Mixture Models: Simulation-based Estimation
Explores mixture models, including discrete and continuous mixtures, and their application in capturing taste heterogeneity in populations.
Personalized Menu Optimization
Explores Bayesian methods in choice modeling for personalized menu optimization and individual choice prediction.
Frequency Domain Study: Acoustic Response Analysis
Explores the Frequency Domain study in COMSOL for analyzing acoustic responses to harmonic excitation in various fields.
Maximum Likelihood: Inference and Model Comparison
Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.
Extreme Value Analysis: Threshold Selection
Discusses threshold selection in extreme value analysis and its impact on model performance.
Red bus/Blue bus paradox
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Recursive Least Squares
Covers the Recursive Least Squares method for parameter estimation based on observation equations and design matrices.
Estimation and Analysis of Deviance
Covers estimation of unknown parameters, analyzing model fit, bird prey response, and model diagnostics.