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學生對 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: Techniques and Models 的評價和反饋

4.8
429 個評分
138 條評論

課程概述

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....

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JH
2017年10月31日

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!!!

CB
2021年2月14日

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.

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76 - Bayesian Statistics: Techniques and Models 的 100 個評論(共 138 個)

創建者 JOSE D J N R

2020年8月11日

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

創建者 Adolfo C C

2021年2月18日

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

創建者 Jayanand S

2019年9月16日

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

創建者 Víthor R F

2018年4月9日

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

創建者 Gustavo M

2019年8月26日

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

創建者 Alejandro D O

2020年5月13日

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

創建者 Peter W

2020年8月8日

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

創建者 Nicholas W T

2018年9月6日

Very thorough instruction. Excellent feedback and support on forums.

創建者 Ahmed M

2018年11月12日

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

創建者 Razik R M T

2021年1月14日

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

創建者 WN S

2021年10月16日

very good course, everything clearly explained; superb lecturing

創建者 Emma S

2020年11月20日

I absolutely loved this course! Challenging and interesting!

創建者 Stephen B

2019年5月29日

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

創建者 nicole s

2017年11月7日

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

創建者 Paramita C

2021年2月28日

The material was excellent and the videos were awesome!

創建者 Ilia S

2018年9月24日

I found this course very interesting and informative.

創建者 Ken A

2020年1月27日

Excellent course. Streamlined but extremely useful.

創建者 Hsiaoyi H

2018年7月31日

Great course to learn both theories and techniques!

創建者 Anuj K P

2020年8月1日

ONE OF THE BEST COURSE FOR BAYESIAN STATISTICS .

創建者 Arkobrato G

2019年11月11日

Great course with challenging assignments and de

創建者 Enrique A M

2020年11月7日

Thanks Teacher Matthew Heiner, Thanks Coursera.

創建者 Lau C

2019年4月15日

Super clear and easy to follow. Thanks so much.

創建者 Tibor R

2019年4月20日

Very good and useful course, and hard as well.

創建者 Victor Z

2018年7月30日

A very good practical and theoretical course

創建者 Farrukh M

2017年7月25日

I appropriate the way the course is taught.