Related lectures (188)
Error Estimation in LHS
Covers error estimation in Latin Hypercube Sampling, emphasizing the importance of accurate variance estimation.
Detection & Estimation
Covers the fundamentals of detection and estimation theory, focusing on mean-squared error and hypothesis testing.
Calibration analysis of flow meters
Covers the analysis of calibrations for flow meters and parameters like atmospheric temperature, pressure, humidity, and timing.
Generalization in Deep Learning
Delves into the trade-off between model complexity and risk, generalization bounds, and the dangers of overfitting complex function classes.
Law of Large Numbers: General Assumptions
Delves into the complexities of extending from finite variance to finite expectation assumptions.
Estimation: Mean-Squared Error and Fisher Information
Explains estimation through mean-squared error and Fisher information in the context of adaptive filters and exponentiated distributions.
Probabilistic Estimation in Spin Glass Card Game
Explores probabilistic estimation in the Spin Glass Card game, emphasizing room splitting based on a given parameter.
Hydrology Modeling: Routing System
Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.
Analysis of Variance (ANOVA)
Covers Analysis of Variance (ANOVA) for assessing categorical variable effects on quantitative outcomes.
Statistical Estimators
Explains statistical estimators for random variables and Gaussian distributions, focusing on error functions for integration.

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