Adaptation in Kohonen Maps

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Explores multivariate methods like PCA, SVD, PLS, and ICA for dimensionality reduction in functional brain imaging.

Explores the curse of dimensionality, variable selection methods, coefficient of determination, and limitations of filtering techniques.

Covers variance reduction techniques in stochastic simulation to improve accuracy and efficiency.

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

Explores multilinear regression, variance, correlation, optimization, ANOVA, and design procedures.

Covers Parseval relations, Fourier series, energy calculation, and correlation in signal processing.

Introduces Principal Component Analysis, focusing on maximizing variance in linear combinations to summarize data effectively.

Explores principal components, covariance, correlation, choice, and applications in data analysis.

Covers probability, statistics, independence, covariance, correlation, and random variables.

Covers stylized facts in finance and reproducible research in scientific computing.