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Related lectures (29)

Regression Methods: Spline Smoothing Log in to Mediaspace to watch this video

Covers regression methods focusing on spline smoothing and penalised fitting to balance data fidelity and smoothness.

Linear Regression: Model Adjustment and Parameter Estimation Log in to Mediaspace to watch this video

Explains the decomposition of total sum of squares, model adjustment, and parameter estimation in linear regression.

Polynomial Optimization: SOS and SDP Log in to Mediaspace to watch this video

Explores Sum of Squares polynomials and Semidefinite Programming in Polynomial Optimization, enabling the approximation of non-convex polynomials with convex SDP.

Basics of linear regression model Log in to Mediaspace to watch this video

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Regression Trees and Ensemble Methods in Machine Learning Log in to Mediaspace to watch this video

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Overfitting in Supervised Learning: Case Studies and Techniques Log in to Mediaspace to watch this video

Addresses overfitting in supervised learning through polynomial regression case studies and model selection techniques.

Statistical Models and Parameter Estimation Log in to Mediaspace to watch this video

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Linear Estimation & Prediction: Models & Methods Log in to Mediaspace to watch this video

Explores linear estimation and prediction in AR parametric models, focusing on Yule Walker equations and Wiener filter.

Linear Regression Basics Log in to Mediaspace to watch this video

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