Chevron Left
Voltar para Bayesian Statistics: Techniques and Models

Comentários e feedback de alunos de Bayesian Statistics: Techniques and Models da instituição Universidade da Califórnia, Santa Cruz

4.8
estrelas
449 classificações

Sobre o 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....

Melhores avaliações

JH

31 de out de 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!!!

CB

14 de fev de 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.

Filtrar por:

1 — 25 de 147 Avaliações para o Bayesian Statistics: Techniques and Models

por Jonathan B

1 de jan de 2019

por Sandra M

14 de mai de 2018

por Brian K

1 de abr de 2019

por Milo V

19 de jun de 2018

por Vladimir Y

11 de nov de 2017

por Toshiaki O

23 de nov de 2020

por zhen w

28 de jul de 2017

por Igor K

12 de jun de 2017

por Krishna D

9 de jan de 2020

por Eugene B

26 de jun de 2019

por Sathishkumar R P

21 de mai de 2018

por Jiasun L

20 de jul de 2019

por Paolo P

26 de mar de 2022

por Cameron K

7 de jun de 2017

por Tracey

6 de out de 2020

por Georgy M

1 de abr de 2019

por Benjamin O A

7 de jul de 2018

por Seema K

17 de nov de 2019

por Arnaud D

8 de dez de 2018

por Yahia E

6 de jun de 2019

por Chiu W K

29 de jul de 2017

por Andrew M

8 de nov de 2021

por Oaní d S d C

7 de jun de 2018

por Jens K

13 de jun de 2020

por Jerry L

5 de jul de 2017