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Related lectures (31)

Quantifying Statistical Dependence: Covariance and Correlation

Explores covariance, correlation, and mutual information in quantifying statistical dependence between random variables.

Independence and Covariance

Explores independence and covariance between random variables, discussing their implications and calculation methods.

Estimating R: Example 100

Explores correlation limitations, probability, random variables, and statistical inference using a ball-drawing example.

Machine Learning at the Atomic Scale

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

Heterodiffusion in Solids

Explores heterodiffusion, including electrolyte diffusion in liquids and solids, autodiffusion, and factors influencing diffusion rates.

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Dependence Concepts and Copulas

Explores dependence concepts, copulas, correlation fallacies, and rank correlations in statistics.

Central Limit Theorem: Properties and Applications

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Relativity and Cosmology II: Hubble Law and Universe Curvature

Covers the Hubble law derivation and cosmological parameter determination from supernova observations.

Dark Matter and Cosmology

Explores dark matter evidence, cosmic microwave background, dark matter properties, candidates, supersymmetry, and detection methods.

Evidence for Dark Matter: Galactic Rotation Curves and Clusters

Explores evidence for dark matter in galactic rotation curves and clusters, as well as cosmological concepts like the Robertson-Walker metric and inflation.

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