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Related lectures (32)
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Signals & Systems I: Cross-Correlation and Convolution
Explores cross-correlation, convolution, signal approximation, orthonormal functions, and orthogonal approximation theorem in signals and systems.
Copulas: Properties and Applications
Explores copulas in multivariate statistics, covering properties, fallacies, and applications in modeling dependence structures.
Statistical Models: Unitary Conformal Field Theories
Covers the connection between statistical models and unitary conformal field theories, focusing on critical points and the role of local fields.
Covariance of Differenced Measurements
Explores the concept of covariance in differenced measurements and correlation between observations.
How to Lie with Statistics
Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Stochastic Processes and Spectral Densities
Covers spectral densities, signal correlations, and white noise processes in stochastic systems.
Central Limit Theorem: Properties and Applications
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Variance, Covariance, and Correlation
Explores variance, covariance, and correlation in statistics, essential for data analysis.
Inflationary Magnetogenesis: Primordial Curvature Perturbations and Magnetic Fields
Covers the relationship between primordial curvature perturbations and inflationary magnetic fields, emphasizing observational evidence and theoretical models.
Multi-dimensional correlation spectroscopy: INEPT and HSQC
Explains coherence transfer techniques in multi-dimensional NMR spectroscopy.