Econometrics
Comprehensive econometrics course covering regression analysis, time series, heteroscedasticity, autocorrelation, and advanced estimation techniques. Includes practical exercises and exam preparation materials.
Classical Linear Regression Model - Part 4
Explore advanced concepts in classical linear regression, focusing on model interpretation, diagnostics, and practical applications in statistical analysis.
Classical Linear Regression Model - Part 3
Explore advanced concepts of classical linear regression, including model assumptions, estimation techniques, and statistical inference for robust data analysis.
Classical Linear Regression Model - Part 2
Explore advanced concepts of classical linear regression, including model assumptions, parameter estimation, and statistical inference techniques.
Spectral Methods Meets Asymmetry: Two Recent Stories - Lecture 4
Explore spectral methods for asymmetric data matrices, covering top-K ranking and matrix de-noising. Learn advantages over traditional approaches in data analysis and estimation.
Variational Approximations for Bayesian and Semi-Bayesian Inferences
Explore variational approximations in Bayesian inference, focusing on group-variable selection and heteroscedastic Gaussian processes. Learn efficient parameter estimation and process forecasting techniques.