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베이지안 통계(으)로 돌아가기

듀크대학교의 베이지안 통계 학습자 리뷰 및 피드백

719개의 평가
233개의 리뷰

강좌 소개

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction. We assume learners in this course have background knowledge equivalent to what is covered in the earlier three courses in this specialization: "Introduction to Probability and Data," "Inferential Statistics," and "Linear Regression and Modeling."...

최상위 리뷰


Sep 21, 2017

Great course. Difficult to apprehend sometimes as the Frequentist paradigm is learned first but once you get it, it is really amazing to see the believe update in action with data.


Apr 10, 2018

I like this course a lot. Explanations are clear and much of the (unnecessarily heavyweight) maths is glossed over. I particularly liked the sections on Bayesian model selection.

필터링 기준:

베이지안 통계의 225개 리뷰 중 51~75

교육 기관: Melesio C S

Aug 22, 2019

It was a very interesting course, i really recommend it if you want to get into bayesian statistics.

교육 기관: Jinwoo L

Jul 11, 2019

Literally best concise and brief explanation. Dr. Rundel wakes my intellectual vitality up again!

교육 기관: Yan Q

Dec 23, 2016

very helpful, however there is no recourse or recommend information for reference textbook.

교육 기관: fanjieqi

Jan 04, 2018

Pretty good, but some parts is a little difficult. I need to watch these videos more.

교육 기관: Julio C L J

Dec 19, 2017

The course was hard, because the topic is quite difficult. I missed the readings.

교육 기관: Perry C

Sep 25, 2017

I didn't understand everything but I learned more than I ever thought I would.

교육 기관: Parab N S

Oct 02, 2019

An excellent course by Professor Rundel and her team on Bayesian Statistics.

교육 기관: Zhen X

Nov 26, 2018

Provide bunches of intuition of bayesian statistics. Worthwhile to enroll!

교육 기관: Himanshu D

Feb 20, 2017

Excellent content. Gives a very different outlook of Bayesian Stats.

교육 기관: Øyvind M E

May 24, 2020

Harder than the previous courses but well worth the learning

교육 기관: Alfonso G D

Apr 29, 2020

Very interesting aproach to statistics in a very clear way

교육 기관: Aditya G

Jun 06, 2020

Course was really good and I enjoyed it a lot. Thank You.

교육 기관: Buckley O

Jul 26, 2020

Great class. Well worth the time investment and effort.

교육 기관: Hohyun J

Jun 20, 2020

Excellent lecture, well structured, easy to understand.

교육 기관: julieth i m s

Nov 27, 2017

Excellent course. Both instructors are really great.

교육 기관: Ricardo B

Nov 24, 2017

Very comprehensive course on Bayesian Statistics.

교육 기관: Junyu W

Jul 07, 2020

Very organized and detailed offered course

교육 기관: Ale D

Dec 18, 2017

Hard, but very good first course on Bayesian

교육 기관: Lou B V

Sep 11, 2020

It was difficult for me yet it is so great.

교육 기관: Luis A A C

Oct 11, 2018

Excellent course very clear explenations.

교육 기관: Matthew L

Jan 31, 2018

Really hard, but absolutely worth it.

교육 기관: Ananda R

Apr 19, 2017

very difficult but it is interesting

교육 기관: Zining J

May 09, 2018

This is course is very intuitive!

교육 기관: Subrata B

Sep 08, 2016

Excellent introductory course!

교육 기관: Arman A

Aug 25, 2017

Very entertaining course !!!