31.929, Summer Schools: Statistics for linguistics with R bootcamp / Norway

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LINGUIST List: Vol-31-929. Sat Mar 07 2020. ISSN: 1069 - 4875.

Subject: 31.929, Summer Schools:  Statistics for linguistics with R bootcamp / Norway

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Date: Sat, 07 Mar 2020 15:12:53
From: Stefanie Wulff [swulff at ufl.edu]
Subject: Statistics for linguistics with R bootcamp / Norway

 

Statistics for linguistics with R bootcamp

Host Institution: 
Website: https://www.ntnu.edu/documents/36797874/0/PhD+COURSE+on+with+R+INFO+FINAL%5B1%5D.pdf/ba54ee06-888d-db41-f58e-fdce617c9f06?t=1574943045999

Dates: 03-Aug-2020 - 07-Aug-2020
Location: Tromsø, Norway

Focus: "Statistics for linguistics with R" is a hands-on introduction to statistical methods for both graduate students and seasoned researchers in linguistics.
Minimum Education Level: MA


Description:
"Statistics for linguistics with R" is a hands-on introduction to statistical
methods for both graduate students and seasoned researchers and is based on
the second edition (2013) of Stefan Gries’ textbook "Statistics for
linguistics with R". The course is mainly intended for linguists who already
have a basic knowledge in statistics and some experience using R, and who wish
to improve their proficiency in statistical analysis of linguistic data.
Participants who are new to statistics and/or R may want to prepare beforehand
by working through the readings listed below. The course puts a particularly
strong emphasis on various kinds of fixed- and mixed-effects regression
modeling as well the use of other predictive modeling techniques such as
classification/conditional inference trees and (random) forests. The course
features:

- a brief recap of basic aspects of statistical evaluation as well as several
descriptive statistics insofar as they facilitate later predictive modeling
approaches;

- a selection of monofactorial statistical tests for frequencies, means, and
correlations and how they constitute special (limiting) cases of regression
methods;

- an exploration of different kinds of multifactorial regression modeling
approaches as well as other techniques on the basis of both observational and
experimental, published and unpublished data.

For all modeling methods to be explored, we will discuss how to test their
assumptions and visualize their results with visually appealing and annotated
statistical graphs. There also will be in depth discussion of different model
selection strategies, how to interpret predictive modeling results (such as
different kinds of interactions and contrasts), threats to the validity of
modeling, etc.

The course will feature lecture-style teaching, but at least half of the
instructional time each day will be hands-on work on a variety of different
data sets. Data sets and (thousands of lines of) code will be provided to the
participants, as will be a variety of helper functions that participants will
be able to use for their own statistical applications. Also, we will discuss
queries that were sent to R newsgroups as well as reviews of papers under
review with an eye to help participants understand what mistakes to avoid.

At the end of the course, the participants will be able to understand any
discussion of a regression model they come across in research literature and
will be able to conduct their own fixed- and mixed-effects modeling analyses;
time permitting, there will be a small section on how to write small
statistical/visualization functions yourself.


Linguistic Field(s): General Linguistics

Tuition: 0 USD

Tuition Explanation: This course is provided free of charge. Ph.D. students outside of Norway are
responsible for their own travel and accommodation (lunches and a formal
dinner are provided free of charge). Norwegian Ph.D.s applying for course
credit can apply directly to LingPhil for travel and accommodation expenses.


Registration: 02-Mar-2020 to 30-Jun-2020

Contact Person: Stefanie Wulff
                Phone: 3522947455
                Email: swulff at ufl.edu

Apply by Email: swulff at ufl.edu

Registration Instructions:
There is a limited number of available seats in this course. Priority is given
to Ph.D. students from Norwegian universities, followed by Ph.D. students from
universities outside of Norway, followed by people who are not Ph.D. students.

If you are a Ph.D. student in Norway, you must officially enroll in the course
by April 15th. Visit https://fsweb.no/soknadsweb/velgInstitusjon.jsf to
register. The application code is 9301 and the course code is LIN-8011.

If you are a Ph.D. student outside of Norway, or if you are not a Ph.D.
student, please do NOT try to register through the LingPhil web site. Instead,
please email Stefanie Wulff (swulff at ufl.edu) to be placed on a wait list.
Starting 16 April 2020, those who requested to be placed on the wait list will
be informed as to whether they have a spot. As individual situations change,
we will continue to offer seats that become available to people on the wait
list.




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