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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

442 個評分


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....




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!!!



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.


51 - Bayesian Statistics: Techniques and Models 的 75 個評論(共 144 個)

創建者 Dongxiao H


terrific, so I've learn quite a lot basic knowledge about MCMC. So I can build kinds of models with better understanding.

創建者 Leonardo F


Very interesting.

I would like to have a follow on since the possible applications of the topics explained in the course.

創建者 Manuel M S


Excellent course for introducing yourself to Monte Carlo Methods applied to Bayesian statistics. Highly recommended!

創建者 Ahad H T


Outstanding, Excellent, Must do for statistician. I'm from Civil Engg Background easily capable to learn the course

創建者 Russell N


Fantastic course that I was able to immediately incorporate into my work. Great mix of theory and hands on coding!

創建者 Vlad V


Very good course giving a good practical kickoff to a very interesting and exciting topic of Bayesian statistics.

創建者 Bill B


Very useful introduction to practical application of Bayesian inference to real world problems using R and JAGS.

創建者 Artem B


It is very concise, but informative course. It combines both theory and practice in R, which are easy to follow.

創建者 Ian C


I really enjoyed the course! Thank you for the very interesting and thought-provoking lectures and assignments.

創建者 Sharang T


It was a very informative course and it was very useful in giving an introduction to a whole new field for me

創建者 Juan C


Muy recomendable para los investigadores y profesionales que quieren desarrollar productos y procesos nuevos.

創建者 Ariel A


This course is a great start for everyone who wants to dive into Bayesian Statistics. Very clear and helpful.

創建者 Hyun J K


Perfect combination of theory part + application part

Recommend to people who took the basic Bayesian class

創建者 Stephen


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

創建者 Tomas F


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

創建者 Chow K M


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

創建者 Cardy M I


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

創建者 Nirajan B


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

創建者 Madayan A


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

創建者 Jaime A C


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

創建者 Sariel H


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

創建者 Yuanjia Y


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

創建者 Maurice


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

創建者 Haozhe ( X


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

創建者 Johan F R


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