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Covers the derivation of exact results for small strains in composite materials and the implications of experimental data outside these limits.
Explores extremal limit theorems, Gaussian processes, and modeling rare events in spatial problems and time series.
Covers nuclear power safety concerns post-Fukushima, extreme weather impact, and financial risk estimation using extreme value theory.
Covers the fundamentals of detection and estimation theory, focusing on mean-squared error and hypothesis testing.
Explores correlation limitations, probability, random variables, and statistical inference using a ball-drawing example.
Delves into the duality between confidence intervals and hypothesis tests, emphasizing the importance of precision and accuracy in estimation.
