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大脑与认知科学统计学

Statistics For Brain And Cognitive Science
课程网址: https://ocw.mit.edu/courses/9-07-statistics-for-brain-and-cogniti...  
主讲教师: Emery N Brown
开课单位: 麻省理工学院
开课时间: 2016-01-01
课程语种: 英语
中文简介:
为学生提供分析实验数据、正确解释文献中的统计报告以及在不确定情况下进行推理的基本工具。围绕三个关键理论组织的主题:概率、统计和线性模型。概率论涵盖概率公理、离散和连续概率模型、大数定律和中心极限定理。统计理论涵盖估计、似然理论、贝叶斯方法、自举法等蒙特卡罗方法,以及假设检验、置信区间、实验原理的基本设计和拟合优度。线性模型理论涵盖了简单回归模型和方差分析。理论、数据分析和模拟研究并重。
课程简介: Provides students with the basic tools for analyzing experimental data, properly interpreting statistical reports in the literature, and reasoning under uncertain situations. Topics organized around three key theories: Probability, statistical, and the linear model. Probability theory covers axioms of probability, discrete and continuous probability models, law of large numbers, and the Central Limit Theorem. Statistical theory covers estimation, likelihood theory, Bayesian methods, bootstrap and other Monte Carlo methods, as well as hypothesis testing, confidence intervals, elementary design of experiments principles and goodness-of-fit. The linear model theory covers the simple regression model and the analysis of variance. Places equal emphasis on theory, data analyses, and simulation studies.
关 键 词: 实验数据; 基本设计; 回归模型
课程来源: 麻省理工学院公开课
数据采集: 2023-10-08:chenjy
最后编审: 2023-10-08:chenjy
阅读次数: 18