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# Avis et commentaires pour d'étudiants pour Statistiques bayésiennes par Université Duke

3.8
étoiles
767 évaluations
248 avis

## À propos du cours

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."...

## Meilleurs avis

RR
20 sept. 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.

GH
9 avr. 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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## 51 - 75 sur 241 Avis pour Statistiques bayésiennes

par Lucia M

27 mai 2020

Es un curso muy difícil de seguir si no tienes amplios conocimientos de estadística y probabilidad. Nada que ver con los anteriores de esta especialización.

par 魏震

16 nov. 2016

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

par Shao Y ( H

30 oct. 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.

par 殷子涵

6 janv. 2017

This course is very good for bayesian statistic theory. What is more, it also teaches a lot of coding skills with R which is really useful.

par Raffy S C

22 mars 2020

Great course. Quite difficult though. I wished it was split to two course or maybe an entire specialization dedicated for this.

par Mark P

24 oct. 2017

Slightly math heavy at times but the practical labs were awesome. I thoroughly enjoyed the final modeling assignment as well

par Michael B

26 oct. 2016

Great course with clear instruction and a final peer-review project with clear expectations and explanations.

par Melesio C S

22 août 2019

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

par Jinwoo L

10 juil. 2019

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

par Yan Q

22 déc. 2016

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

par fanjieqi

3 janv. 2018

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

par Julio C L J

18 déc. 2017

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

par Perry C

25 sept. 2017

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

par Parab N S

2 oct. 2019

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

par Zhen X

26 nov. 2018

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

par Himanshu D

19 févr. 2017

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

par Øyvind M E

24 mai 2020

Harder than the previous courses but well worth the learning

par Alfonso G D

29 avr. 2020

Very interesting aproach to statistics in a very clear way

6 juin 2020

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

par Buckley O

26 juil. 2020

Great class. Well worth the time investment and effort.

par Hohyun J

20 juin 2020

Excellent lecture, well structured, easy to understand.

par JULIETH I M S

27 nov. 2017

Excellent course. Both instructors are really great.

par Ricardo B

24 nov. 2017

Very comprehensive course on Bayesian Statistics.

par Nandini G

5 févr. 2021

Best Course under Statistics domain on coursera

par Junyu W

7 juil. 2020

Very organized and detailed offered course