LINGUIST List 33.2902
Sat Sep 24 2022
Summer Schools: Intro to Bayesian for Speech and Language Scientists / Online
Editor for this issue: Sarah Goldfinch <sgoldfinchlinguistlist.org>
Date: 12-Sep-2022
From: Massimiliano Canzi <massimiliano.canzi
uni-konstanz.de>
Subject: Intro to Bayesian for Speech and Language Scientists / Online
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Website: https://www.eventbrite.co.uk/e/intro-to-bayesian-for-speech-and-language-scientists-tickets-415162250467
Dates: 25-Oct-2022 - 26-Oct-2022
Location: Online, Online, Germany
Focus: Bayesian Inference, R, Speech and language sciences
Minimum Education Level: MA
Description:
When: October 25th AND 26th, 2-4 pm CET (Berlin, Rome).
Where: Zoom, links sent at a later date to those who sign up through Eventbrite.
Instructor: Dr Stefano Coretta (University of Edinburgh)
Info: This workshop will introduce Bayesian inference for the quantification of phonetic data using a unified framework of statistical modelling using linear models. Until recently, Bayesian modelling was technically involved and computationally expensive. These challenges have now been overcome, making Bayesian inference conceptually, technically, and computationally feasible for researchers across disciplines. Furthermore, Bayesian inference more directly answers research questions typically asked in the speech sciences, compared to traditional Null Hypothesis Significance Testing, by quantifying magnitude and uncertainty of estimates of interest. A brief conceptual introduction will be followed by a walk through of a Bayesian statistical analysis using R and the package brms (Bürkner 2017).
We will explain how to set up a Bayesian regression model (including setting appropriate priors), how to interpret the results inferentially, how to conduct model checks, and how to visualize and report the results. In hands-on exercises, the participants will immediately apply their knowledge to real data sets in R.
Requirements: some prior knowledge of quantitative methods and inferential statistics i.e. linear models. If you want to code along during the workshop, prior knowledge of R is necessary. Data and code for the workshop will be provided in advance.
Note: While this workshop is primarily aimed at phoneticians and spech scientists -- especially in terms of example and sample data provided -- every one who is interested in learning about Bayesian inference is welcome to join in.
Tuition: 0 EURO
Tuition Explanation: Free for every one
Registration: 12-Sep-2022 to 22-Oct-2022
Contact Person: Massimiliano Canzi
Email: massimiliano.canzi
uni-konstanz.de
Registration Instructions:
Sign up for free on Eventbrite to receive Zoom links and course materials.
Page Updated: 24-Sep-2022