Introduction to Bayesian Thinking
Dr Ana Paula Palacios
Date/Time: Thursday 27th May 2021, 4-6pm BST
For more info and to join online, please go to: https://www.gre.ac.uk/las/research/crel/events
Abstract
Increasingly, researchers from different areas are incorporating more quantitative data into their research. Bayesian methods in particular are becoming more popular and widely used. However, in language research the quantitative analysis has been dominated by frequentist methods for a long time. The goal of this workshop is to introduce the audience to the alternative approach for data analysis, that is the Bayesian framework. We will present an informal introduction to the foundational ideas of the Bayesian approach and highlight some of the differences with the frequentist methods. By the use of illustrative examples we will demonstrate some of its advantages, which include a more intuitive interpretation, quantification of uncertainty, and its ability to remain useful when sample sizes are small.
About the speaker
Dr Ana Paula Palacios is a Senior Lecturer in Statistics, in the School of Computing and Mathematical Sciences. Dr Palacios's primary research interest is in applied statistics, in particular stochastic processes and Bayesian statistics. Her research includes applications to a variety of real-world problems including bacterial growth, software reliability, criminology and degradation data, among others.
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The Science Practice Hub (SciPHub) provides a space for researchers across faculties to reflect on science practices critically and share expertise to strengthen the capability of research. It is a joint initiative from the Centre for Research and Enterprise in Language (CREL) and the Institute for Lifecourse Development (ILD), open to every interested researcher.
