Bayesian Statistics

Bayesian Statistics

课程
en
英语
25 时
此内容评级为 4.3901/5
来源
  • 来自www.coursera.org
状况
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  • 5 序列
  • 等级 中级

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课程详情

教学大纲

  • Week 1 - About the Specialization and the Course
    This short module introduces basics about Coursera specializations and courses in general, this specialization: Statistics with R, and this course: Bayesian Statistics. Please take several minutes read this information. Thanks for joining us in this course!
  • Week 1 - The Basics of Bayesian Statistics

    Welcome! Over the next several weeks, we will together explore Bayesian statistics.

    In this module, we will work with conditional probabilities, which is the probability of event B given event A. Conditional probabilities are very important in medical de...

  • Week 2 - Bayesian Inference
    In this week, we will discuss the continuous version of Bayes' rule and show you how to use it in a conjugate family, and discuss credible intervals. By the end of this week, you will be able to understand and define the concepts of prior, likelihood, and post...
  • Week 3 - Decision Making
    In this module, we will discuss Bayesian decision making, hypothesis testing, and Bayesian testing. By the end of this week, you will be able to make optimal decisions based on Bayesian statistics and compare multiple hypotheses using Bayes Factors.
  • Week 4 - Bayesian Regression
    This week, we will look at Bayesian linear regressions and model averaging, which allows you to make inferences and predictions using several models. By the end of this week, you will be able to implement Bayesian model averaging, interpret Bayesian multiple l...
  • Week 5 - Perspectives on Bayesian Applications
    This week consists of interviews with statisticians on how they use Bayesian statistics in their work, as well as the final project in the course.
  • Week 5 - Data Analysis Project
    In this module you will use the data set provided to complete and report on a data analysis question. Please read the background information, review the report template (downloaded from the link in Lesson Project Information), and then complete the peer review...

先决条件

没有。

讲师

Mine Çetinkaya-Rundel
Associate Professor of the Practice
Department of Statistical Science

David Banks
Professor of the Practice
Statistical Science

Colin Rundel
Assistant Professor of the Practice
Statistical Science

Merlise A Clyde
Professor
Department of Statistical Science

编辑

杜克大学是一所位于北卡罗来纳州达勒姆的北美私立研究型大学。该大学以杜克王朝的名字命名。

虽然该大学直到 1924 年才正式成立(其根源可追溯到 1838 年)。杜克大学经常被称为 "南方的哈佛",是美国南方选拔最严格的大学。

该大学是美国大学协会的成员,自 1900 年以来,该协会一直将北美的精英研究型大学聚集在一起。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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