This lecture covers the basic properties of expectation, including integrability, square-integrability, boundedness, centering, and linearity. It also discusses the positivity property for non-negative integrable random variables.
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Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
