Stylized Facts: Reproducible Research

Related lectures (32)

Page 3 of 4

Delves into correlation and spectral density of signals, explaining their significance and applications.

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

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.

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

Covers the key concepts of Principal Component Analysis (PCA) and its practical applications in data dimensionality reduction and feature extraction.

Explores break points in statistics and the nuances of correlation analysis.

Explores data analysis techniques, emphasizing time series prediction in a flipped classroom setting.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

Explores signal approximation, orthogonal bases, Fourier series, correlation, and vector geometry.