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Bayesian Statistics: Techniques and Models に戻る

カリフォルニア大学サンタクルーズ校（University of California, Santa Cruz） による Bayesian Statistics: Techniques and Models の受講者のレビューおよびフィードバック

4.8
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442件の評価

コースについて

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....

人気のレビュー

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.

フィルター：

Bayesian Statistics: Techniques and Models： 101 - 125 / 145 レビュー

by Farrukh M

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2017年7月25日

I appropriate the way the course is taught.

by GABRIEL

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2020年10月19日

Very nice course, simple and comprehensive

by pritam s

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2021年7月24日

I have learned a lot from this course

by Evgenii L

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2018年5月2日

A very good course to introduce yours

by Luis H

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2017年7月30日

Rather useful and easy understanding

by JOSE F

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2018年2月11日

Very challenging but interesting!

by Nikola M

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2019年4月7日

one of best stats courses I had

by Ge T

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2021年2月13日

Easy to follow. Great content.

by Doug A

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2022年5月5日

​good class learned a lot

by PAWAN S

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2020年9月8日

EXCELLENT COURSE ....

by Chen N

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2019年4月8日

Amazing, super cool!

by Luis A

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2019年6月6日

Excellent course.

by Thais P

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2017年7月1日

Very good curse!!

by Neha K

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2020年9月14日

excellent course

by sameen n

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2020年4月30日

Amazing course.

by Clara X G

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2022年8月17日

Learned a lot！

by Harshit G

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2019年5月9日

Great course.

by Michael B R

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2017年12月29日

Great course!

by Yiran W

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2017年6月11日

Very helpful!

by Seokkyu K

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2022年6月5日

Best course!

by Aya M L N

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2020年11月9日

Thanks a lot

by Larry Y

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2018年9月30日

Great class.

by Dallam M

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2017年6月27日

great course

by SURAJIT C

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2020年12月25日

Good Work!

by Nancy L

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2019年10月11日

Thank you!

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