Name: Bayesian Statistics: Techniques and Models
Brand: University of California, Santa Cruz
Availability: OnlineOnly
Rating: 4.8 (171 reviews)

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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

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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....

101 - Bayesian Statistics: Techniques and Models 的 125 个评论（共 171 个）

创建者 Ahmed M

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Nov 12, 2018

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

创建者 Razik R M T

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Jan 14, 2021

Great explanations. The instructor made it so easy to understand.

创建者 WN S

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Oct 16, 2021

very good course, everything clearly explained; superb lecturing

创建者 Wu S Y

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Mar 19, 2023

Detailed explanations and informative examples in R provided.

创建者 Emma S

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Nov 19, 2020

I absolutely loved this course! Challenging and interesting!

创建者 Stephen B

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May 29, 2019

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

创建者 nicole s

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Nov 7, 2017

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

创建者 Paramita C

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Feb 28, 2021

The material was excellent and the videos were awesome!

创建者 Suci A

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Apr 22, 2024

I am very happy joining this class, very interesting.

创建者 Ilia S

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Sep 24, 2018

I found this course very interesting and informative.

创建者 Ken A

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Jan 27, 2020

Excellent course. Streamlined but extremely useful.

创建者 Hsiaoyi H

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Jul 31, 2018

Great course to learn both theories and techniques!

创建者 Anuj K P

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Aug 1, 2020

ONE OF THE BEST COURSE FOR BAYESIAN STATISTICS .

创建者 Arkobrato G

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Nov 11, 2019

Great course with challenging assignments and de

创建者 Enrique A

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Nov 7, 2020

Thanks Teacher Matthew Heiner, Thanks Coursera.

创建者 Lau C

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Apr 15, 2019

Super clear and easy to follow. Thanks so much.

创建者 Tibor R

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Apr 19, 2019

Very good and useful course, and hard as well.

创建者 Victor Z

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Jul 30, 2018

A very good practical and theoretical course

创建者 Farrukh M

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Jul 25, 2017

I appropriate the way the course is taught.

创建者 GABRIEL

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Oct 18, 2020

Very nice course, simple and comprehensive

创建者 Yaoxiang N

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Feb 4, 2024

Very nice course for Bayesian statistics!

创建者 pritam s

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Jul 24, 2021

I have learned a lot from this course

创建者 Evgenii L

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May 2, 2018

A very good course to introduce yours

创建者 Luis H

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Jul 30, 2017

Rather useful and easy understanding

创建者 Jose F

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Feb 11, 2018

Very challenging but interesting!

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

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101 - Bayesian Statistics: Techniques and Models 的 125 个评论（共 171 个）