First Steps with Variational Bayes
Date:
21/09/2022
Organised by:
University of Liverpool
Presenter:
Dr David Hughes
Level:
Intermediate (some prior knowledge)
Contact:
Please email engage@liverpool.ac.uk for any questions or queries
Venue: Online
Description:
Variational Bayes is a tool used to allow scalable Bayesian inference, and is applicable in a huge variety of applications. This course will give an introduction to Variational Bayes and describe its use in some simple settings. The course will consist of a lecture introducing the basic concepts of variational Bayes, and a practical session in R, where participants will be able to learn how to fit variational Bayes models in simple settings using both bespoke codes and some common R packages.
Format:
This short course will comprise an hour long introduction to variational Bayes and a 75 minute practical using R with a short break in between for Q&As and space for discussion at the end.
Pre-requisites:
This course will assume that participants will have some prior familiarity with Bayesian analysis. This need not be expert, but should be some experience of regression models. Some experience of using R would be beneficial. Typical candidates would have a first or second degree in one of Statistics, Mathematics, Computer Science, or in a quantitative Social Sciences or Arts and Humanities field, such as Social Statistics or Digital Humanities). A short list of packages to install in R before the event will be circulated to participants.
This event runs from 2pm to 4:30pm and will be online
Cost:
Free Event
Website and registration:
Region:
North West
Keywords:
Data Collection, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Quantitative Software, Data Visualisation, Research Skills, Communication and Dissemination (other), Variational Bayes, R, Statistics
Related publications and presentations:
Data Collection
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
Quantitative Software
Data Visualisation
Research Skills, Communication and Dissemination (other)