Probabilistic Systems Analysis and Applied Probability

Prof. Munther Dahleh, MIT OpenCourseWare

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

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  • 语言: 英语 Gb

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