#Heteroscedasticity

Comprehensive econometrics course covering regression analysis, time series, heteroscedasticity, autocorrelation, and advanced estimation techniques. Includes practical exercises and exam preparation materials.

Explore advanced concepts in classical linear regression, focusing on model interpretation, diagnostics, and practical applications in statistical analysis.

Explore advanced concepts of classical linear regression, including model assumptions, estimation techniques, and statistical inference for robust data analysis.

Explore advanced concepts of classical linear regression, including model assumptions, parameter estimation, and statistical inference techniques.

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.

Explore variational approximations in Bayesian inference, focusing on group-variable selection and heteroscedastic Gaussian processes. Learn efficient parameter estimation and process forecasting techniques.