Statistics@MIT
Biostatistics 230 -- Probability Theory and Applications I
Course Description: Axiomatic foundations of probability, independence, conditional probability, joint distributions, transformations, moment generating functions, characteristic functions, moment inequalities, sampling distributions, modes of convergence and their interrelationships, laws of large numbers, central limit theorem, and stochastic processes.

This class is at the Graduate level
Instructor: Marcello Pagano (Public Health)

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