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Opiniones y comentarios de aprendices correspondientes a Bayesian Statistics: Techniques and Models por parte de Universidad de California en Santa Cruz

4.8
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321 calificaciones
95 revisiones

Acerca del Curso

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....

Principales revisiones

JH

Nov 01, 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!!!

KD

Jan 09, 2020

Excellent teacher and very well taught. Right amount of theory and programming combination. Made the subject easy to learn. Enjoyed it very much. Thank you very much.

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51 - 75 de 94 revisiones para Bayesian Statistics: Techniques and Models

por Yuanjia Y

May 20, 2020

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

por Maurice

May 20, 2020

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

por Haozhe ( X

May 27, 2020

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

por Jayanand S

Sep 17, 2019

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

por Víthor R F

Apr 10, 2018

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

por Gustavo M

Aug 26, 2019

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

por Alejandro D O

May 13, 2020

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

por Nicholas W T

Sep 06, 2018

Very thorough instruction. Excellent feedback and support on forums.

por Ahmed M

Nov 12, 2018

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

por Stephen B

May 30, 2019

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

por nicole s

Nov 07, 2017

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

por Ilia S

Sep 24, 2018

I found this course very interesting and informative.

por Ken A

Jan 27, 2020

Excellent course. Streamlined but extremely useful.

por Hsiaoyi H

Jul 31, 2018

Great course to learn both theories and techniques!

por srisri1008Anuj

Aug 01, 2020

ONE OF THE BEST COURSE FOR BAYESIAN STATISTICS .

por Arkobrato G

Nov 11, 2019

Great course with challenging assignments and de

por Lau C

Apr 15, 2019

Super clear and easy to follow. Thanks so much.

por Tibor R

Apr 20, 2019

Very good and useful course, and hard as well.

por Victor Z

Jul 30, 2018

A very good practical and theoretical course

por Farrukh M

Jul 25, 2017

I appropriate the way the course is taught.

por Evgenii L

May 02, 2018

A very good course to introduce yours

por Luis H

Jul 30, 2017

Rather useful and easy understanding

por JOSE F

Feb 11, 2018

Very challenging but interesting!

por Nikola M

Apr 07, 2019

one of best stats courses I had

por Chen N

Apr 08, 2019

Amazing, super cool!