The European Dactyloscopy Database (Eurodac) is the large-scale IT system used in the EU for managing asylum applications within the EU+2, as illustrated in Figure 1. The system allows fingerprint comparison and storage, and therefore supports the effective implementation of Regulation (EU) No...

In this, we argue that statistics is one of the fields of greatest significance for developing tools and techniques to find patterns in data and to give a greater understanding of them, as well as the most crucial for analyzing and calculating uncertainty. We provide a summary of several data...

We consider the applicability of simple statistical models to Russia's short-term economic trends in a wartime context. We develop several composite indicators combining economic variables to predict Russian GDP trends both before and after the invasion if Ukraine in 2022. In addition, our SVAR...

With the use of technology-enhanced learning platforms and an abundance of available educational data, it is possible to analyze student learning behavior and solve problems, improve the learning environment, and make data-driven decisions. A virtual learning environment effectively provide...

Ratios are an instrumental component of the communication of probabilities such as COVID incidence rates, side effects of medical drugs, or political decision‐making; hence, they are a critical component of an individual's statistical decision‐making. Research on the ratio bias has shown...

Finding the eigenvalues connected to the covariance operator of a centered Hilbert-space valued Gaussian process is genuinely considered a hard problem in several mathematical disciplines. In Statistics this problem arises for instance in the asymptotic null distribution of goodness-of-fit test...

Integrating data science and artificial intelligence(AI) into statistics education have the potential to raise academic standards, improve the overall quality of statistics education. Data science is the "what" and "why" of student performance and learning patterns, and AI is the "how" the...

This paper presents a distribution-free test, based on the permutation approach, on treatment effects with a multivariate categorical response variable. The motivating example is a typical case-control biomedical study, performed to investigate the effect of the treatment called "assisted motor...

In statistical analysis, evaluating the normality of large datasets is crucial for validating parametric tests, particularly in areas such as Global Navigation Satellite System (GNSS) measurements, where data often exhibit non-normal characteristics resulting from their variability and errors....

Model misspecification in multivariate econometric models can strongly influence estimates of quantities of interest such as structural parameters, forecast distributions or responses to structural shocks, even more so if higher-order forecasts or responses are considered, due to parameter...

The present 2025 annual report focuses on selected issues that are of relevance and concern to the production of European statistics and have implications for the implementation of the European Statistics Code of Practice (ESCoP) in the European Statistical System (ESS). These issues pertain to...

Modeling loss data is a crucial aspect of actuarial science. In the insurance industry, small claims occur frequently, while large claims are rare. Traditional heavy-tail distributions, such as Weibull, Log-Normal, and Inverse Gaussian distributions, are not suitable for describing insurance...

This paper studies linear time‐series regressions with many regressors. Weak exogeneity is the most used identifying assumption in time series. Weak exogeneity requires the structural error to have zero conditional expectation given present and past regressor values, allowing errors to...

How efficiently do scientific results make their way into the wider world? Applying multiple methods to the universe of hypothesis tests reported in three leading health journals between 2016 and 2022 we evidence the important role of statistical significance as a driver of popular attention to...

How efficiently do scientific results make their way into the wider world? Applying multiple methods to the universe of hypothesis tests reported in three leading health journals between 2016 and 2022 we evidence the important role of statistical significance as a driver of popular attention to...

The She Figures 2024 Policy Report complements the She Figures 2024 main study by providing an in-depth analysis of key issues relating to gender equality in research and innovation (R&I). While the main study presents comprehensive gender statistics in R&I, the Policy Report expands on these...