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Squared deviations from the mean
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Related lectures (29)
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Accuracy and Stability: Algorithms Performance
Discusses accuracy and stability in computational algorithms, focusing on the Verlet and Gear algorithms and comparing their performance.
Linear Regression: Model Adjustment and Parameter Estimation
Explains the decomposition of total sum of squares, model adjustment, and parameter estimation in linear regression.
Fermat's Theorem: Sums of Squares
Explores Fermat's Theorem, factorization of integers, properties of Z[i], and Hurwitz quaternions.
Regression Methods: Spline Smoothing
Covers regression methods focusing on spline smoothing and penalised fitting to balance data fidelity and smoothness.
Quadratic Forms and Symmetric Bilinear Forms
Explores quadratic forms, symmetric bilinear forms, and their properties.
Untitled
Polynomial Optimization: SOS and SDP
Explores Sum of Squares polynomials and Semidefinite Programming in Polynomial Optimization, enabling the approximation of non-convex polynomials with convex SDP.
Linear Regression: Understanding Quantitative Relationships
Covers linear regression, from developing research questions to interpreting R-squared and adding predictors to improve the model.
Detection & Estimation
Covers the fundamentals of detection and estimation theory, focusing on mean-squared error and hypothesis testing.
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