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Related lectures (31)
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Bayesian Inference: Optimal Estimation
Explores optimal Bayesian inference, denoising, scalar estimation, and phase transitions.
Bayesian Estimation
Covers the fundamentals of Bayesian estimation, focusing on the application of Bayes' Theorem in scalar estimation.
Effective Field Theory: Testing Weak Interactions
Explores effective field theory for testing weak interactions and parity violation through forward-backward asymmetry.
Environmental Legislation and Noise Protection
Explores environmental legislation, noise protection, and exposure limits for road traffic and aircraft noise.
The weak interactions of leptons
Delves into neutrino flavors, muon decay, LFU violation, and neutrino-quark scattering, exploring weak interactions of leptons.
Estimation & Bayesian Inference
Covers demousing, estimation, Bayesian inference, likelihood, AWGN, and more.
Bayesian Extremes: Markov Chain Monte Carlo
Explores Bayesian techniques for extreme value problems, including Markov Chain Monte Carlo and Bayesian inference, emphasizing the importance of prior information and the use of graphs.
Bayesian Inference: Estimation & Demystification
Covers the concepts of Demystification, Estimation, and Bayesian Inference in the context of Bayesian statistics.
Quantum Field Theory: Fundamentals and Applications
Introduces Quantum Field Theory, covering paths to QFT, fields, weak interactions, and the Standard Model of particle Physics.
Statistical Significance: Maximum Likelihood Estimation and Confidence Intervals
Explores type I and type II errors, critical values, and confidence intervals in statistical significance.
