29.564, Summer Schools: Analysing Curves/United Kingdom

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Fri Feb 2 18:06:35 UTC 2018


LINGUIST List: Vol-29-564. Fri Feb 02 2018. ISSN: 1069 - 4875.

Subject: 29.564, Summer Schools: Analysing Curves/United Kingdom

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Date: Fri, 02 Feb 2018 13:06:24
From: Patrycja Strycharczuk [patrycja.strycharczuk at manchester.ac.uk]
Subject: Analysing Curves

 

Analysing Curves

Host Institution: University of Manchester
Coordinating Institution: University of Manchester
Website: https://analysingcurves.github.io/

Dates: 29-May-2018 - 31-May-2018
Location: Manchester, United Kingdom

Focus: Training workshop on statistical analysis of non-linear data
Minimum Education Level: BA


Description:
Experiments in linguistics and psychology often produce time-varying signals
that are only poorly approximated by popular statistical techniques, such as
linear regression. Recent developments in statistical modelling provide
solutions to this issue, enabling more nuanced and powerful statistical
analysis. This workshop will be led by two researchers who are experts in
dynamic data analysis. It will familiarise participants with the conceptual
underpinnings of two analytical approaches, General Additive Mixed Modelling
and Functional Data Analysis, providing hands-on training on how to implement
the analyses in the statistical package R. It will bolster the participants’
research profiles by expanding their methodological toolkit, and by embedding
them in a network of early career researchers from neighbouring disciplines.


Registration: 01-Feb-2018 to 28-Feb-2018

Contact Person: Patrycja Strycharczuk
                Email: analysingcurves at gmail.com

Apply on the web: https://analysingcurves.github.io/registration/

Registration Instructions:
If you wish to attend the workshop, please pre-register via the indicated URL.
No payment will be taken at this stage. Once we confirm your place, you will
receive an e-mail with a link to complete your registration and payment. We
anticipate that the registration fee will be £50, and the discounted fee (for
students or unaffiliated researchers) will be £25.




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