Methodological and Applied Statistics and Demography III : SIS 2024, Short Papers, Contributed Sessions 1 / / edited by Alessio Pollice, Paolo Mariani

• Record Nr.: UNINA9910983319003321
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• ISBN: 9783031644313; 303164431X
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (XXI, 680 p. 145 illus., 114 illus. in color.)
• Collana: Italian Statistical Society Series on Advances in Statistics, , 3059-2143
• Disciplina: 519.5
• Soggetti: Statistics; Mathematical statistics - Data processing; Quantitative research; Demography; Population; Artificial intelligence - Data processing; Statistical Theory and Methods; Applied Statistics; Statistics and Computing; Data Analysis and Big Data; Population and Demography; Data Science; Estadística; Estadística matemàtica; Processament de dades; Investigació quantitativa; Demografia; Població; Intel·ligència artificial; Llibres electrònics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Preface -- Contributed Sessions -- Efficient Bayesian estimation of spatial Poisson auto-regression with Leroux random effects -- Approximate Inference for the Bayesian Discrepancy Measure for Precise Statistical Hypotheses -- Generalized Additive Mixed Models in medicine a case study on LDL cholesterol in people living with HIV under different antiretroviral regimens.
• Sommario/riassunto: This book of peer-reviewed short papers on methodological and applied statistics and demography is the third of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024. It features the first part of the contributions presented in the Contributed Sessions. The volumes address a large number of topics and applications of current interest. The topics covered include, but are not limited to, statistical theory and methods, sampling theory, Bayesian statistics, statistical modeling, computational statistics, classification, data analysis, gender statistics and applied statistics. The applications reflect new analyses in a wide variety of fields, including demography, psychometrics, education, business, economics, finance, law, and other social sciences and humanities, epidemiology, the life and health sciences as well as the environmental and natural sciences and engineering. This variety also demonstrates the important role of statistical science in addressing the societal and environmental challenges of sustainable development. One of the aims of the Italian Statistical Society (SIS) is to promote scientific activities for the development of statistical sciences. Its biennial international Scientific Meeting represents the Society’s largest event which brings together national and international researchers and professionals to exchange ideas and discuss recent advances and developments in theoretical and applied statistics.