Category: news
Examining exams using Rasch models and assessment of measurement invariance
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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. Read more ›
Modeling loss aversion with extended-support beta regression
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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. Read more ›
Extended-support beta regression for [0, 1] responses
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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. Read more ›
colorspace: A Python toolbox for colors and palettes
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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. Read more ›
Evaluation of the UEFA Euro 2024 group stage forecast
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A look back on the group stage of the UEFA Euro 2024 to check whether our ensemble machine learning forecasts based were any good... Read more ›
UEFA Euro 2024 forecast: Netherlands vs. Austria
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Detailed probabilistic forecast for the match Netherlands vs. Austria at UEFA Euro 2024 in Group D, accompanying a conference presentation at Imagine 2024. Read more ›
Forecasting the UEFA Euro 2024 with a machine learning ensemble
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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. Read more ›
Subgroup detection in linear growth curve models
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New arXiv working paper showing how generalized linear mixed effects model (GLMM) trees, along with their R implementation in the glmertree package, can be used to identify subgroups with differently shaped trajectories in linear growth curve models. Read more ›
Probabilistic forecasting for the FIFA Women's World Cup 2023
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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. Read more ›
Tree models for assessing covariate-dependent method agreement
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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. Read more ›