Bayesian Analysis: an Introduction
Course
In London
Description
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Type
Course
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Level
Intermediate
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Location
London
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Class hours
5h
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Duration
1 Day
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Start date
Different dates available
This one-day course focuses on the principles of Bayesian data analysis.
You'll learn to apply Bayesian methods to your own research and understand other people’s results using Bayesian analysis.
This course is run by UCL's Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).
Facilities
Location
Start date
Start date
About this course
The course is aimed at professionals who want to be able to understand the fundamental principles of Bayesian analysis to assist their own research as well as interpreting other people's findings.
There are no pre-requisites but it's desirable to have a basic knowledge of statistics, i.e. notion of statistical inference, p-values and confidence intervals.
You can request a certificate of attendance for this course once you've completed it
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The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 15 years
Subjects
- Bayesian methods
- Frequentist
- Bayesian analysis
- WinBugs
- Bayesian concepts
- Analysis
- Analysis of Variance
- ICH
- Bayesian
- Wingbugs
Course programme
The workshop will help you to understand and critically evaluate published research that uses Bayesian analysis.
It will also give you the confidence to implement Bayesian concepts.
You'll learn about:
- the differences between frequentist and Bayesian methods
- the important features of Bayesian methods and how best to define them (such as priors and likelihoods)
- how best to report or explain applied Bayesian analysis
- using WinBugs to apply Bayesian analysis
Bayesian Analysis: an Introduction
