Extreme Variability Quasars

Related lectures (30)

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Explores sampling in inferential statistics, emphasizing the impact of sample size and randomness on inference accuracy.

Explores dark matter indirect detection methods, including WIMPs, gamma-ray observations, and supermassive black holes.

Explores sampling, inferential statistics, and effective experimentation in statistics.

Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.

Discusses parameter estimation, including checks, quality, distribution, and statistical properties of estimates.

Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

Covers hypothesis testing, confidence intervals, and their applications in statistics.

Covers generative models with a focus on self-attention and transformers, discussing sampling methods and empirical means.

Explores funding an idea, big data analysis, and statistics basics with insights on avoiding common pitfalls.

Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.