International Workshop on Psychometric Computing (Psychoco) 2024

Date
Thursday 29 Feb 2024, 09:00 - Friday 1 Mar 2024, 18:00
Type
Conference
Room
29 Feb: Sanders Building, room 0.03 | 1 March: Van der Goot Building, room M1-19
Building
Sanders Building
Location
Campus Woudestein
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On 29 February and 1 March 2024 Erasmus University Rotterdam will host the 2024 International Workshop on Psychometric Computing (Psychoco). The aim of this workshop is to bring together researchers from statistics, psychology, and related disciplines working on modern techniques for the analysis of data from psychology and the social sciences. 

Following the fruitful previous workshops, it will provide a platform for discussions about implementation and application of software on the interface of statistical inference, computational methods, and applied psychometrics.

A special emphasis is given to implementations in the R system for statistical computing. To create a diverse and inspiring program, both authors and users of psychometric software packages are encouraged to present their recent and ongoing work.

Tutorials on robust statistical and psychometric methods

In the morning of 29 February, there will be a number of hands-on tutorials on robust statistical and psychometric methods in R with a special emphasis on robust methods for discrete or ordinal (rating-scale) data. 

There is no additional registration for the tutorials, all participants of the workshop may attend the tutorials.

Registration

To participate in the workshop, simply send an email to info@psychoco.org (by 28 January 2024). In the spirit of open science and open source software, workshop participation is free of charge.

Organisation

Programme:            Carolin Strobl, Florian Wickelmaier, Achim Zeileis
Local organisation: Andreas Alfons, Kathrin Gruber 
Contact:                   info@psychoco.org

See also

Extending the Scope of Inference About Predictive Ability to Machine Learning Methods

Juan Carlos Escanciano (Universidad Carlos III de Madrid)
Polak Building and autumn trees

Beyond Arbitrage: Deviations from Risk-Return

Benjamin Holcblat, (University of Luxembourg)

Variable aggregation in a Benders decomposition for the p-median problem

Rick Willemsen (Erasmus School of Economics)
Students walking on campus with a bike

On changepoint detection in functional data using empirical energy distance

Lorenzo Trapani, (University of Leicester)

Saddlepoint techniques for the statistical analysis of time series

Davide La Vecchia (University of Geneva)
Spring in Rotterdam

The Anatomy of Machine Learning-Based Portfolio Performance

Christian Montes Schutte, Aarhus University
Christian Montes Schutte smiling at the camera
More information

For more information, please visit psychoco.org/2024

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