The cross-nested logit model

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 3 of 4

Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.

Continuous Random Variables

Covers continuous random variables, probability density functions, and distributions, with practical examples.

Linear Models: Least Squares

Explores linear models, least squares, Gaussian vectors, and model selection methods.

Derivation of the logit model

Explains the derivation of the logit model in choice models, covering error terms, choice sets, and availability conditions.

Astrophysical Fluids & Plasmas

Explores astrophysical fluids, plasmas, MHD, turbulence, and plasma oscillations, including Faraday rotation for measuring cosmic magnetic fields.

Random Vectors and Stochastic Models for Communications

Covers random vectors, joint probability, and conditional probability in communication stochastic models.

Epidemics and Bootstrap Percolation in Square Lattice

Explores epidemics spread models and Bootstrap Percolation in square lattice networks, focusing on the Kolmogorov equation and probability generating functions.

Probability Distributions: Independence and Linear Combinations

Explores independence, linear combinations of variables, and probability laws.

Elements of Statistics

Introduces key statistical concepts through practical exercises and MATLAB applications.

Generalized Linear Models: GLMs for Non-Gaussian Data

Explores Generalized Linear Models for non-Gaussian data, covering interpretation of natural link function, MLE asymptotic normality, deviance measures, residuals, and logistic regression.