33.3006, Summer Schools: Intro to Bayesian for Speech and Language Scientists / Online

[The LINGUIST List]

LINGUIST List: Vol-33-3006. Sat Oct 01 2022. ISSN: 1069 - 4875.

Subject: 33.3006, Summer Schools:  Intro to Bayesian for Speech and Language Scientists / Online

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Date: Sat, 01 Oct 2022 23:16:42
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: Konstanz (Online), B-W, Germany

Focus: Bayesian Inference for language scientists
Minimum Education Level: No Minimum


Special Qualifications:
See requirements in description


Description:
When: October 25th and 26th, 2-4 pm CET (Berlin, Rome)
Where: University of Konstanz (Online, via Zoom)
Who: Dr Stefano Coretta https://stefanocoretta.github.io
What: 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: 23-Sep-2022 to 25-Oct-2022

Contact Person: Massimiliano Canzi
                Email: massimiliano.canzi at uni-konstanz.de


Registration Instructions:
Sign up using the Evenbrite link provided.




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LINGUIST List: Vol-33-3006	
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