Methodological and Applied Statistics and Demography III

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.

Presents the latest developments in methodological and applied statistics and demography Collects the first part of contributions presented in the SIS 2024 Contributed Sessions Fosters new directions of research and applications in statistics and demography

Autorentext

Alessio Pollice is a Full Professor of Statistics at the Department of Economics and Finance at the University of Bari Aldo Moro, Italy.

Paolo Mariani is a Full Professor of Economic Statistics at the Department of Economics, Management and Statistics, University of Milano-Bicocca, Italy.

Inhalt

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.