Statistical Science: From Theory to Applied Research I
SIS-FENStatS 2026, Short Papers, Plenary, Specialized, FENStatS, and Solicited Sessions
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Beschreibung
This first of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026. The meeting brought together the 53rd Scientific Meeting of the Italian Statistical Society (SIS 2026) and the 1st Scientific Meeting of the European Statistical Societies (FENStatS 2026) promoted by the Federation of European National Statistical Societies. This volume features invited contributions presented in the Plenary, Specialized, FENStatS, and Solicited Sessions.
The contributions present modern methodological developments and innovative applications in a wide variety of fields and address current challenges in statistical science. The topics covered include, but are not limited to, high-dimensional and multivariate statistics, functional data analysis and complex data structures, Bayesian statistics, time series analysis, dependence and extreme values, statistical learning, machine learning and AI, network science, analysis of directional and compositional data, spatial, spatio-temporal and environmental statistics, biostatistics and the analysis of medical data, social statistics, demography, economic statistics, as well as survey statistics, official statistics and public policy. Given this variety, the book also demonstrates the importance of statistical science and the responsible use of quantitative methods in addressing societal and environmental challenges related to sustainable development.
The Joint Meeting SIS-FENStatS 2026 was the first event of its kind ever organized at the European level. It provided an important forum for dialogue, exchange and collaboration among national and international contributors from academia, national and international institutions, and industry, working across statistics, demography, and applied statistical fields.
This first of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026. The meeting brought together the 53rd Scientific Meeting of the Italian Statistical Society (SIS 2026) and the 1st Scientific Meeting of the European Statistical Societies (FENStatS 2026) promoted by the Federation of European National Statistical Societies. This volume features invited contributions presented in the Plenary, Specialized, FENStatS, and Solicited Sessions.
The contributions present modern methodological developments and innovative applications in a wide variety of fields and address current challenges in statistical science. The topics covered include, but are not limited to, high-dimensional and multivariate statistics, functional data analysis and complex data structures, Bayesian statistics, time series analysis, dependence and extreme values, statistical learning, machine learning and AI, network science, analysis of directional and compositional data, spatial, spatio-temporal and environmental statistics, biostatistics and the analysis of medical data, social statistics, demography, economic statistics, as well as survey statistics, official statistics and public policy. Given this variety, the book also demonstrates the importance of statistical science and the responsible use of quantitative methods in addressing societal and environmental challenges related to sustainable development.
The Joint Meeting SIS-FENStatS 2026 was the first event of its kind ever organized at the European level. It provided an important forum for dialogue, exchange and collaboration among national and international contributors from academia, national and international institutions, and industry, working across statistics, demography, and applied statistical fields.
Presents the latest methodological advances and innovative applications in statistical science Collects invited contributions presented in the SIS-FENStatS 2026 Plenary, Specialized, FENStatS, and Solicited Sessions Fosters innovation and the responsible use of quantitative methods to tackle the key challenges shaping our world
Autor*in
Francesca Martella
Themen in »Statistical Science: From Theory to Applied Research I«
Statistical Methods Statistical Theory Applications of Statistics Demography Data Analysis Computational Statistics Statistical Modeling Bayesian Inference Sampling Data Science Official Statistics Sustainability