Variable Selection Methods: Filtering and Correlation

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Page 3 of 4

Explores correlation measures, matched filtering, and feature extraction in image processing.

Delves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.

Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.

Covers the key concepts of PCA, including reducing data dimensionality and extracting features, with practical exercises.

Delves into high-order correlations in massive datasets and their importance.

Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.

Explores comparison statistics, hypothesis testing, ANOVA, correlation, and linear regression.

Covers copulas, dependence structures, simulation techniques, and properties of copula densities.

Explains the least-squares regression line, correlation coefficients, outliers, influential points, and residuals in regression models.

Explores correlation inequalities and their applications in various contexts.