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Fatou's lemma
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Related lectures (11)
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Probability Review
Introduces subgaussian and subexponential random variables, conditional expectation, and Orlicz norms.
Properties of Complete Spaces
Covers the properties of complete spaces, including completeness, expectations, embeddings, subsets, norms, Holder's inequality, and uniform integrability.
Monotone Convergence: Fatou's Lemma
Explores monotone convergence, dominated convergence, and Fatou's lemma with practical examples.
Untitled
Applications of Convergence Theorems
Explores applications of dominated convergence and the Fatou lemma in real analysis.
Differentiation under Integral Sign
Explores differentiation under the integral sign, comparing it with the Riemann integral and discussing key assumptions and theorems.
Rademacher Complexity Control: Empirical Risk
Discusses statistical learning theory, Rademacher complexity, and empirical process control for estimation error.
Linearity of Expectations
Covers the proof of the linearity of expectations for independent random variables and discusses properties of expected value.
Advanced Probability: Probability Concepts and Applications
Explores advanced probability concepts, independence of events, expected value theorem, and inversions in permutations.
Superposition and Decomposition
Explains superposition and decomposition of signals into simpler components.
Sobolev spaces, Lax-Milgram
Covers Sobolev spaces, Lax-Milgram theorem, embeddings, and Lipschitz boundaries in PDEs.
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