Publications by Achim Zeileis
Examining exams using Rasch models and assessment of measurement invariance
Models from psychometric item response theory are used to analyze the results from a large introductory mathematics exams in order to gain insights about student abilities, question difficulties, and heterogeneities of these in subgroups. Citation Achim Zeileis (2024). “Examining Exams Using Rasch Models and Assessment of Measurement Invariance.�...
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Modeling loss aversion with extended-support beta regression
The recently-proposed extended-support beta regression model in R package betareg is illustrated by simultaneously modeling the occurrence and extent of loss aversion in a behavioral economics experiment. Motivation To illustrate the benefits of extended-support beta regression models, suggested in a recent arXiv paper with Ioannis Kosmidis, we rev...
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Extended-support beta regression for [0, 1] responses
New arXiv working paper introducing extended-support beta regression models which can capture probabilities for boundary observations at 0 and/or 1. It is available in the latest R package betareg, also accompanied by a new altdoc web page. Citation Ioannis Kosmidis, Achim Zeileis (2024). “Extended-Support Beta Regression for [0, 1] Responses.�...
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colorspace: A Python Toolbox for Colors and Palettes
Python package ‘colorspace’ with tools for manipulating and assessing colors and palettes is now available from PyPI, accompanied by a documentation web page and an arXiv paper. Citation Reto Stauffer, Achim Zeileis (2024). “colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes.” arXiv.org E-Print Archive arXiv:24...
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Evaluation of the UEFA Euro 2024 group stage forecast
A look back on the group stage of the UEFA Euro 2024 to check whether our ensemble machine learning forecasts based were any good… How surprising was the group stage? This week the group stage of the UEFA Euro 2024 was concluded so that all pairings for the round of 16 are fixed now. Therefore, today we want to do address two questions regarding ...
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UEFA Euro 2024 forecast: Netherlands vs. Austria
Detailed probabilistic forecast for the match Netherlands vs. Austria at UEFA Euro 2024 in Group D, accompanying a conference presentation at Imagine 2024. Machine learning ensemble In a recent blog post, prior to the start of the tournament, probabilistic forecasts for the UEFA Euro 2024 were provided based on a machine learning approach. In short...
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Forecasting the UEFA Euro 2024 with a machine learning ensemble
Probabilistic forecasts for the UEFA Euro 2024 are obtained by using a hybrid model that combines data from four advanced statistical models. The favorite is France, followed by England and host Germany. Football fans around the world are looking forward to the kick off to the UEFA Euro 2024 in Germany later this week. 24 of the best European te...
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Probabilistic forecasting for the FIFA Women’s World Cup 2023
Winning probabilities for all teams in the FIFA Women’s World Cup are obtained using a consensus model based on quoted bookmakers’ odds. The favorite is defending World Champion United States, followed by European Champion England, and Spain. Football fans around the world anticipate the FIFA Women’s World Cup 2023 that will take place in ...
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Tree models for assessing covariate-dependent method agreement
New arXiv working paper introducing conditional method agreement trees (COAT) which can capture the dependency of a Bland-Altman analysis on covariates. It is ccompanied by an R implementation in the CRAN package coat. Citation Siranush Karapetyan, Achim Zeileis, André Henriksen, Alexander Hapfelmeier (2023). “Tree Models for Assessing Covariate...
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CRAN Task Views: The next generation
New arXiv working paper on the relaunch of the CRAN Task View Initiative providing better infrastructure and workflows for proposing and maintaining CRAN Task Views and fostering interactions with the R community. Citation Achim Zeileis, Roger Bivand, Dirk Eddelbuettel, Kurt Hornik, Nathalie Vialaneix (2023). “CRAN Task Views: The Next Generation...
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