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MATH 356 Honours Probability (3 unit茅s)

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Offered by: Math. et statistique (Sciences)

Vue d'ensemble

Math茅matiques et Statistiques (Sci) : Sample space, probability axioms, combinatorial probability. Conditional probability, Bayes' Theorem. Distribution theory with special reference to the Binomial, Poisson, and Normal distributions. Expectations, moments, moment generating functions, uni-variate transformations. Random vectors, independence, correlation, multivariate transformations. Conditional distributions, conditional expectation.Modes of stochastic convergence, laws of large numbers, Central Limit Theorem.

Terms: Automne 2023

Instructors: Addario-Berry, Louigi Dana (Fall)

  • Fall

  • Prerequisite(s): MATH 243 or MATH 255, and MATH 222 or permission of the Department.

  • Restriction: Not open to students who have taken or are taking MATH 323

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