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6.041 概率系统分析与应用概率（MIT）6.041 Probabilistic Systems Analysis and Applied Probability (MIT) |
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| 课程网址: | http://ocw.mit.edu/courses/electrical-engineering-and-computer-sc... |
| 主讲教师: | John Tsitsiklis |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2010-07-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: The concept of statistical significance (to be touched upon at the end of this course) is considered by the Financial Times as one of "The Ten Things Everyone Should Know About Science". A recent Scientific American article argues that statistical literacy is crucial in making health-related decisions. Finally, an article in the New York Times identifies statistical data analysis as an upcoming profession, valuable everywhere, from Google and Netflix to the Office of Management and Budget. The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition. |
| 关 键 词: | 概率; 概率模型; 贝叶斯准则; 离散随机变量; 连续随机变量; 伯努利过程; 泊松过程; 马尔可夫链; 中心极限定理; 统计推断 |
| 课程来源: | 麻省理工学院公开课 |
| 最后编审: | 2020-05-31：王勇彬(课程编辑志愿者) |
| 阅读次数: | 610 |