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学生对 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: Techniques and Models 的评价和反馈

442 个评分


This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. In particular, we will introduce Markov chain Monte Carlo (MCMC) methods, which allow sampling from posterior distributions that have no analytical solution. We will use the open-source, freely available software R (some experience is assumed, e.g., completing the previous course in R) and JAGS (no experience required). We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Computer demonstrations provide concrete, practical walkthroughs. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data....



Oct 31, 2017

This course is excellent! The material is very very interesting, the videos are of high quality and the quizzes and project really helps you getting it together. I really enjoyed it!!!


Feb 14, 2021

The course was really interesting and the codes were easy to follow. Although I did take the previous course for this series, I still found it hard to grasp the concepts immediately.


76 - Bayesian Statistics: Techniques and Models 的 100 个评论(共 144 个)

创建者 Rodrigo G

Jan 25, 2021

This course is perfect. I helped me with serious research at the lab I work for.

创建者 JOSE D J N R

Aug 11, 2020

A great course, both regarding theoretical explanations and practical details.

创建者 Adolfo C C

Feb 18, 2021

An excellent and demanding course. High level teachers and very good material

创建者 Jayanand S

Sep 16, 2019

Complex subject made easy with easy to understand theory & practical examples

创建者 Víthor R F

Apr 9, 2018

Very cool, probably the best course I've done in Coursera. Keep rocking! :)

创建者 Gustavo M

Aug 26, 2019

Very nice course. A bit more theory on sampling methods would be welcome.

创建者 Alejandro D O

May 13, 2020

Excellent, balanced (theory and practice) course. I enjoyed very much.

创建者 Peter W

Aug 8, 2020

Very pleased with the course. It was well worth the time and effort.

创建者 Nicholas W T

Sep 6, 2018

Very thorough instruction. Excellent feedback and support on forums.

创建者 Ahmed M

Nov 12, 2018

If you want to become good in modelling it is recommended to enrol.

创建者 Razik R M T

Jan 14, 2021

Great explanations. The instructor made it so easy to understand.

创建者 WN S

Oct 16, 2021

very good course, everything clearly explained; superb lecturing

创建者 Emma S

Nov 20, 2020

I absolutely loved this course! Challenging and interesting!

创建者 Stephen B

May 29, 2019

Best course done to date. I wish they had one in STAN too!

创建者 nicole s

Nov 7, 2017

A great course, very detailed and a very good instructor!

创建者 Paramita C

Feb 28, 2021

The material was excellent and the videos were awesome!

创建者 Ilia S

Sep 24, 2018

I found this course very interesting and informative.

创建者 Ken A

Jan 27, 2020

Excellent course. Streamlined but extremely useful.

创建者 Hsiaoyi H

Jul 31, 2018

Great course to learn both theories and techniques!

创建者 Anuj K P

Aug 1, 2020


创建者 Arkobrato G

Nov 11, 2019

Great course with challenging assignments and de

创建者 Enrique A M

Nov 7, 2020

Thanks Teacher Matthew Heiner, Thanks Coursera.

创建者 Lau C

Apr 15, 2019

Super clear and easy to follow. Thanks so much.

创建者 Tibor R

Apr 20, 2019

Very good and useful course, and hard as well.

创建者 Victor Z

Jul 30, 2018

A very good practical and theoretical course