E0 226 Linear Algebra and Probability

Lectures | Tutorials

Lectures

• AUG 7: Introduction to probability spaces
• AUG 14: Continuity of probability measures
• AUG 21: Independence, Construction of Borel sigma algebras
• AUG 28: Random Variables
• SEP 11: Distribution Function -- From set functions to point functions
• SEP 25: Discrete and Continuous r.vs and some examples
• OCT 9: Expectation, Variance
• OCT 16: n-dim Borel sigma algebras and Random Vectors
• OCT 30: Random Vectors and Distribution Functions
• NOV 9: Jensens, Holders inequality
• NOV 13: More on inequalities
• NOV 16: exam
• NOV 20: Introduction to convergence, Definitions of a.s, p, L^{r}-convergences
• NOV 21: Results on a.s implies p-convergence, Generalized Chebyshev inequality, L^{r} implies p-convergence, L^{r}-weak Law of large numbers and p-weak law of large numbers

Tutorials

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