6.436J / 15.085J 概率论基础6.436J / 15.085J Fundamentals of Probability |
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课程网址: | http://ocw.mit.edu/courses/electrical-engineering-and-computer-sc... |
主讲教师: | David Gamarnik ; John Tsitsiklis |
开课单位: | 麻省理工学院 |
开课时间: | 信息不详。欢迎您在右侧留言补充。 |
课程语种: | 英语 |
中文简介: | 这是一门关于概率论基础的课程,面向对这门学科的严格发展感兴趣的一年级或二年级研究生。本课程涵盖麻省理工6.431课程的大部分主题,但速度更快,深度更深。主题包括:概率空间和度量;离散和连续随机变量;空调和独立;多元正态分布;抽象积分、期望及相关收敛结果;弯矩产生与特征函数;伯努利和泊松过程;有限状态马尔可夫链;收敛概念及其关系;和极限定理。熟悉概率论和实际分析中的基本概念是必要的。 |
课程简介: | This is a course on the fundamentals of probability geared towards first or second-year graduate students who are interested in a rigorous development of the subject. The course covers most of the topics in MIT course 6.431 but at a faster pace and in more depth. Topics covered include: probability spaces and measures; discrete and continuous random variables; conditioning and independence; multivariate normal distribution; abstract integration, expectation, and related convergence results; moment generating and characteristic functions; Bernoulli and Poisson processes; finite-state Markov chains; convergence notions and their relations; and limit theorems. Familiarity with elementary notions in probability and real analysis is desirable. |
关 键 词: | 概率空间和测度; 离散和连续随机变量; 条件和独立性; 多元正态分布; 抽象积分; 期望和相关收敛结果; 特征函数; 有限状态马尔可夫链; 收敛概念及其关系; 极限定理 |
课程来源: | 麻省理工学院公开课 |
最后编审: | 2018-06-09:cmh |
阅读次数: | 41 |