Binary regression

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Related lectures (31)

MLE Applications: Binary Choice Models Log in to Mediaspace to watch this video

Explores the application of Maximum Likelihood Estimation in binary choice models, covering probit and logit models, latent variable representation, and specification tests.

Linear Regression Basics Log in to Mediaspace to watch this video

Covers the basics of linear regression, instrumental variables, heteroskedasticity, autocorrelation, and Maximum Likelihood Estimation.

Binary Choice Models and Time Series Analysis Log in to Mediaspace to watch this video

Explores binary choice models like probit and logit, as well as univariate time series analysis with ARIMA models for forecasting economic variables.

Binary Response: Link Functions Log in to Mediaspace to watch this video

Explores binary response interpretation, link functions, logistic regression, and model selection using deviances and information criteria.

Chimpanzee Data Analysis Log in to Mediaspace to watch this video

Covers the analysis of chimpanzee data on learning times and explores generalized linear models and logistic regression.

Statistical Analysis of Networks: Link Prediction and Biclustering Log in to Mediaspace to watch this video

Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.

Mixed-Integer Linear Programming: Formulations and Applications Log in to Mediaspace to watch this video

Explores mixed-integer linear programming, binary variables, 0-1 knapsack, assignment problems, and LP relaxation strength.

Multi-linear regression Log in to Mediaspace to watch this video

Covers the concept of multi-linear regression and the least squares method for model fitting.

Optimal Decision Making: Exercises and Applications Log in to Mediaspace to watch this video

Covers exercises on optimal decision making, including minimizing costs and optimizing transportation networks.

Solving Integer Linear Programs Log in to Mediaspace to watch this video

Covers solving integer linear programs graphically, algorithmically, and through optimization methods.

Logistic Regression: Probability Modeling Log in to Mediaspace to watch this video

Covers logistic regression for binary classification using probability modeling and optimization methods.

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