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学生对 University of California, Santa Cruz 提供的 Bayesian Statistics: Techniques and Models 的评价和反馈

4.8
495 个评分

课程概述

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....

热门审阅

RR

Aug 31, 2020

One of the best practical math courses present in coursera. Loved the course and will surely look upto the next course eagerly.

CB

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.

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76 - Bayesian Statistics: Techniques and Models 的 100 个评论(共 171 个)

创建者 Hyun J K

Oct 12, 2019

Perfect combination of theory part + application part

Recommend to people who took the basic Bayesian class

创建者 Stephen

Mar 17, 2019

Fairly good introduction to basic Bayesian statistical models and JAGS, the package to fit those models.

创建者 Tomas F

Sep 19, 2021

I really, really enjoyed this course. So much so, that I'm definitively going to take the next one.

创建者 Chow K M

Apr 20, 2021

The hands-on application with guidance helps one navigate between understanding and implementation.

创建者 Cardy M I

Jan 28, 2019

This course helped me to get some experience at building Bayesian models and how they are applied.

创建者 Nirajan B

Jan 17, 2021

Amazing course. Never taken a course of such an impressive level at coursera. Highly recommended.

创建者 Madayan A

Sep 4, 2019

Very good course, a little bit to slow at some point but this is marginal in the overall feeling.

创建者 Jaime A C

Jan 9, 2022

Excellent material, top quality instructor and very well designed course. I've learned a lot.

创建者 Sariel H

Nov 29, 2020

Very comprehensive and practical. The course requires some experience with R programming.

创建者 Yuanjia Y

May 20, 2020

This course taught very practical techniques which can be immediately applied to my job.

创建者 Dongliang Z

Feb 5, 2023

Great Course. I learned the idea of MCMC. The R codes are very helpful for me. Thanks!

创建者 Maurice

Apr 16, 2024

Nice teachers, good tempo, well-dosed exercises. I liked this course a lot! Thank you!

创建者 Haozhe ( X

May 26, 2020

Great course. Really enjoy the capstone. Got some hands-on Bayesian Modeling analysis

创建者 Bo Z

Sep 27, 2022

I did learn a lot concerning how to put Bayesian analytical skills into pratice.

创建者 Johan F R

Aug 2, 2021

I highly recommend this course. Content and instructors are excellent. Thank you.

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 Jader G

Dec 21, 2023

Very good. I learned a lot about Bayesian statistics and modeling. I recommend!

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 t

Sep 6, 2018

Very thorough instruction. Excellent feedback and support on forums.