Applied Bayesian Data Analysis for Social Science

Organised by

LSE

Presenter

Dr Patrick English

Date

16/06/2021

Venue

Houghton Street

Map

View in Google Maps  (WC2A 2AE)

Contact

Camilya Maleh
methodology.research@lse.ac.uk

Description

In this workshop you will learn the theory behind Bayesian inference, its critiques of frequentist statistics, and the application of Bayesian regression models in the R statistical language. We will begin the course by outlining frequentist logic and the Bayesian critique of its assumptions and applications and then move to introduce the concepts of Bayesian inference and estimating probability in a Bayesian framework. The practical work will then involve using the R statistical language to estimate, interpret, and visualise Bayesian regression models and their outputs. While the course will involve theoretical topics and have statistical components, it will be aimed at social scientists and the kinds of applications and interactions that they as researchers will have with Bayesian data analysis.

Level

Intermediate (some prior knowledge)

Cost

£30

Website and registration

Region

Greater London

Keywords

Quantitative Data Handling and Data Analysis, Quantitative Approaches (other), Applied Bayesian

Related publications and presentations

Quantitative Data Handling and Data Analysis
Quantitative Approaches (other)

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