CLARIN-CH

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
news:2024:04:10_1712735621 [2024/04/10 09:53] – Seraina Nadignews:2024:04:10_1712735621 [2024/04/10 09:59] (current) – Seraina Nadig
Line 9: Line 9:
 <WRAP round box 30em> <WRAP round box 30em>
 ==== Information on the event ==== ==== Information on the event ====
-**Date:** Wednesday, 20 March 2024 (14:15-16:00) \ +**Date:** Wednesday, 17 April 2024 (14:15-16:00) \\ 
-**Location:** UZH, room AND 4.55 (Andreasstrasse 15, 4th floor) \ +**Location:** UZH, Andreastrasse 15, 8050 Zurich,\\ room will be communicated later \\ 
-**Registration by:** 15 March 2024\ +**Speaker:** Andri Manser\\ 
-**Speaker:** Andri Manser\ +**Registration by:** 12 April 2024\\ 
-**Event link:** [[https://www.liri.uzh.ch/en/news/aktuell/ws-beta-distri.html|LiRI Website]]+**Event link:** [[https://www.liri.uzh.ch/en/events/workshops-lectures.html|LiRI Website]]
 </WRAP> </WRAP>
 </WRAP> </WRAP>
 <WRAP colsmall> <WRAP colsmall>
-{{ :news:2024:03:meet_the_families.jpg?nolink&225|{{ :news:2024:02:stats_workshop.jpg?nolink&150|}}</WRAP></WRAP>+{{ :news:2024:04:meet_the_families-count-data.png?nolink&300|}} 
 +</WRAP></WRAP>
  
  
-===LiRI is inviting to a statistics workshop about the Beta distribution.===+===LiRI is inviting to a statistics workshop about Count data:===
  
-**Description:** Proportion or percentage data is ubiquitous in linguistic research. In this workshop, we will learn about the different types of proportion data, and then introduce beta regression models as a way of analysing (continuous) proportion data. We will discuss how to interpret your model output, check model assumptions, and visualise model predictions. The workshop will have a practical part at the end where you will learn to implement a beta model first hand.+In this workshop, we learn how to analyse count data in a generalised linear modelling framework (GLM). We  discuss the basics of count GLMs, how to fit the model, how to visualise and interpret your model output, as well as how to check model assumptions. We further talk about common issues with count data and how to deal with them, such as exposure variables, overdispersion, and zero-inflation.
  
-**Please register by March 15, 2023 to [[sandra.schwab@uzh.ch]].**+**Please register by 12 April 2024 to [[sandra.schwab@uzh.ch]].**
  
  
  
news/2024/04/10_1712735621.1712735630.txt.gz · Last modified: 2024/04/10 09:53 by Seraina Nadig

Page Tools