返回到 Bayesian Statistics: From Concept to Data Analysis

4.6

1,732 个评分

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450 个审阅

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses....

Sep 01, 2017

Good intro to Bayesian Statistics. Covers the basic concepts. Workload is reasonable and quizzes/exercises are helpful. Could include more exercises and additional backgroung/future reading materials.

Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

筛选依据：

创建者 Harsh V D

•Aug 06, 2017

A very well designed and productive course for anyone looking to brush up his/her concepts on Bayesian Statistics

创建者 Soonkyo J

•Feb 18, 2018

The coolest part of this lecture is mathematical explanation of concepts, especially about conjugate priors.

创建者 Xin L

•Mar 31, 2018

Clear and useful. Really helpful.

创建者 Ming L

•May 06, 2018

I like the course and how the questions are designed. I wish it can be accompanied by a booklet of transcripts of some sort. Videos are good, but so are traditional reading materials.

创建者 A F

•Apr 21, 2018

Great explanations, with detailed steps to follow.

创建者 kacl780tr

•Jul 06, 2017

Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.

创建者 Ying

•Jun 28, 2017

This is a very useful course for people to do the data analysis in astronomy.

创建者 Francisco C

•Sep 22, 2017

Excellent introduction to Bayesian inference. Dr. Lee struck an exceptional balance between presenting concepts and ideas with self-learning through the homework quizzes. I look forward to learning more analysis techniques in subsequent courses!

创建者 Robert K M

•Feb 12, 2018

Invaluable. Excellent quizzes. A few terms could have been better defined, and a few more examples wouldn't hurt, but overall excellent.

创建者 Luca A

•Sep 22, 2018

Really interesting course, expecially in the first part, which has a simple and clear introduction where the "philosophy" of Bayesian approach is explained. Now I have some useful instrument and the curiosity for more sophisticated ones.

创建者 Hao W

•Sep 28, 2018

Completed

创建者 Eliott L

•Sep 28, 2018

Very clean and precise explanations as well as concepts explained under different paradigm

创建者 Shounak D

•Aug 27, 2018

Good introductory course on Bayesian Statistics.

创建者 Francisco J S G

•Aug 26, 2018

A really hard course but useful for those who want to know more about statistics and how it is related to Bayes' theorem.

创建者 Justin C

•Aug 26, 2018

Excellent Course

创建者 Vasilios D

•Aug 28, 2018

This course strikes a perfect balance between not being too simple or too slow on one hand, and offering an easily accessible introduction to many central topic of Bayesian statistics on the other.

I think that good knowledge of basic probability theory and one-variable calculus is necessary for getting the maximum out of this course. This, however, is strictly due to the probabilistic underpinnings of the Bayesian theory.

创建者 Xiaopu L

•Aug 19, 2018

Nice short course with very practical statistical knowledge.

创建者 Vignesh R

•Oct 08, 2018

Awesome course that helped me overcome the Bayesian statistics way of thinking hurdle. Now, I want to go on and learn MCMC, Metropolis !

创建者 Justin W

•Oct 03, 2018

This was a fantastic introduction to Bayesian statistics. Professor Lee is an excellent lecturer, with a comfortable, almost conversational style that I found easy to follow and stay focused on. The course itself is very well organized, introducing key concepts and then immediately providing examples that helped me internalize the concepts they pertained to. Quizzes were low pressure, straightforward applications of the lectures that served the purpose of allowing me to immediately apply what I had just learned.

创建者 Gustavo C

•Oct 04, 2018

I loved this course, I learned a lot and I hope I will be able to use this knowledge when I go back to college for my Master's degree.

创建者 Arnaud D

•Oct 30, 2018

Excellent course ! Full of examples and very useful to a deeper understanding of the domain.

创建者 Robert T

•Nov 07, 2018

Great course for beginners as well as those that need a refresher on the basics!

创建者 Niklas J

•Nov 21, 2018

Good and clear course. I was impressed by the quality of the material.

创建者 Susenjit G

•Nov 23, 2018

Very Useful Course

创建者 tze s

•Jul 17, 2018

very detailed and good classes on bayesian stats