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3.9

Оценки: 600

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Рецензии: 185

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."...

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.

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автор: fanjieqi

•Jan 04, 2018

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

автор: Alexey K

•May 10, 2018

The magic course...)

Thanks!

автор: Ricardo B

•Nov 24, 2017

Very comprehensive course on Bayesian Statistics.

автор: Ananda R

•Apr 19, 2017

very difficult but it is interesting

автор: Shao Y ( H

•Oct 30, 2017

The course is compact that I've learnt a lot of new concepts in a week of coursework. A good sampler of topics related to Bayesian Statistics.

автор: Donal G

•Jan 07, 2017

Very good course.

автор: Riku L

•Dec 23, 2017

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автор: Tian Z

•Dec 14, 2017

Pretty helpful

автор: 李俊宏

•May 22, 2017

very intuitive!

автор: Himanshu D

•Feb 20, 2017

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

автор: 魏震

•Nov 17, 2016

Very nice introduction to bayesian statistics, the materials have some level of depth, and the tests and assignments are highly available for beginners.

автор: Yan Q

•Dec 23, 2016

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

автор: Do H L

•Jul 09, 2016

I beta-tested this course and it was an amazing experience. The instructors are super engaging and upbeat, despite having to delivery a very complex subject like Bayesian statistics. The quizzes are very rich, with a nice balance of practice quizzes and graded quizzes. The practice quizzes offer very helpful explanations that can help to reinforce understanding before doing the graded quiz. Last but not least, the final project description is super exciting and thorough. I highly look forward to completing this course and get a deep introduction to Bayesian statistics.

автор: Denise L

•Aug 02, 2018

Challenging!

автор: Zhen X

•Nov 26, 2018

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

автор: Luis A A C

•Oct 11, 2018

Excellent course very clear explenations.

автор: Jinwoo L

•Jul 11, 2019

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

автор: Melesio C S

•Aug 22, 2019

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

автор: Nazir A

•Sep 20, 2019

Excellent coverage. Needed to read up before watching the video in order to be able to follow the concepts. Topic was covered extensively and I was able to learn a whole new way of looking at statistics in general.

автор: Parab N S

•Oct 02, 2019

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

автор: John A

•Oct 02, 2019

Great course!

автор: Tran T H

•Sep 24, 2019

It's helpful to me.

автор: Liew H P

•Jan 17, 2019

This course is challenging and well-presented!

автор: De'Varus M

•Feb 15, 2019

Though this section in the specialization is a little more difficult than the other sections. The supplemental material provided is helpful in navigating through the course. I will continue to read through this material to further my understanding of the material.

автор: José L E N

•Jan 03, 2017

Theis course is substantially more difficult than the three first ones, and the material is scarce. However, I must admit that this is one of the courses I have ever learnt the most

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