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Fundamentals of Probability

Fundamentals of Probability

This is a course on the fundamentals of probability geared towards students who are interested in a rigorous development of the subject. The course covers sample space, random variables, expectations, transforms, Bernoulli and Poisson processes, finite Markov chains, and limit theorems. There is also a number of additional topics such as: language, terminology, and key results from measure theory; interchange of limits and expectations; multivariate Gaussian distributions; and deeper understanding of conditional distributions and expectations.

Duration: Not defined

Level: Graduate

Certification: No

Cost: Free

Language: English

Type: Self-Paced




Please note: these courses are provided by external sources, links are not actively managed or regularly updated, content might be moved or unavailable.
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