Chevron Left
Retour à Statistiques bayésiennes

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

3.8
étoiles
778 évaluations

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.

Filtrer par :

76 - 100 sur 246 Avis pour Statistiques bayésiennes

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

par Ale D

17 déc. 2017

Hard, but very good first course on Bayesian

par Lou B V

11 sept. 2020

It was difficult for me yet it is so great.

par Luis A

11 oct. 2018

Excellent course very clear explenations.

par Matthew L

31 janv. 2018

Really hard, but absolutely worth it.

par Ananda R

19 avr. 2017

very difficult but it is interesting

par Zining J

9 mai 2018

This is course is very intuitive!

par Subrata B

8 sept. 2016

Excellent introductory course!

par Arman A

25 août 2017

Very entertaining course !!!

par Edilson S

25 juil. 2016

Very Nice Course! Excellent!

par Alexey K

10 mai 2018

The magic course...)

Thanks!

par Harish

21 juin 2018

Of an elvated level!

par Tran T H

24 sept. 2019

It's helpful to me.

par Long K

16 mars 2018

Strongly recommend!

par Donal G

7 janv. 2017

Very good course.

par 李俊宏

22 mai 2017

very intuitive!

par Tian Z

14 déc. 2017

Pretty helpful

par John A

2 oct. 2019

Great course!

par Pedro M

20 déc. 2018

great course!

par Can

10 janv. 2018

Great course.

par Denise L

2 août 2018

Challenging!

par Oscar C R

28 août 2020

Good Course

par Marina Z

27 juin 2017

Challenging