33.2902, Summer Schools: Intro to Bayesian for Speech and Language Scientists / Online

[The LINGUIST List]

LINGUIST List: Vol-33-2902. Sat Sep 24 2022. ISSN: 1069 - 4875.

Subject: 33.2902, Summer Schools:  Intro to Bayesian for Speech and Language Scientists / Online

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Date: Sat, 24 Sep 2022 21:53:43
From: Massimiliano Canzi [massimiliano.canzi at uni-konstanz.de]
Subject: Intro to Bayesian for Speech and Language Scientists / Online

 

Intro to Bayesian for Speech and Language Scientists

Host Institution: 
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 at uni-konstanz.de


Registration Instructions:
Sign up for free on Eventbrite to receive Zoom links and course materials.




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LINGUIST List: Vol-33-2902	
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