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Titlebook: Studies in Theoretical and Applied Statistics; SIS 2021, Pisa, Ital Nicola Salvati,Cira Perna,Raymond Chambers Conference proceedings 2022

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书目名称Studies in Theoretical and Applied Statistics
副标题SIS 2021, Pisa, Ital
编辑Nicola Salvati,Cira Perna,Raymond Chambers
视频videohttp://file.papertrans.cn/881/880913/880913.mp4
概述Comprehensive overview of the interests of the Italian statisticians and their international collaborations.Vast array of special topics and applications illustrating the wide use of statistical model
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Studies in Theoretical and Applied Statistics; SIS 2021, Pisa, Ital Nicola Salvati,Cira Perna,Raymond Chambers Conference proceedings 2022
描述.This book includes a wide selection of papers presented at the 50th Scientific Meeting of the Italian Statistical Society (SIS2021), held virtually on 21-25 June 2021. It covers a wide variety of subjects ranging from methodological and theoretical contributions to applied works and case studies, giving an excellent overview of the interests of the Italian statisticians and their international collaborations. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research..
出版日期Conference proceedings 2022
关键词Smart Statistics; Computational Statistics; Statistical models; Data Analysis; Public statistics
版次1
doihttps://doi.org/10.1007/978-3-031-16609-9
isbn_softcover978-3-031-16611-2
isbn_ebook978-3-031-16609-9Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Adaptive COVID-19 Screening of a Subpopulation,Methods are sought to test adaptively whether a subpopulation proportion follows the same time evolution as the population proportion. The motivating case study is the COVID-19 screening in a university community, taking into account the time evolution of the pandemic in the whole country.
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Nicola Salvati,Cira Perna,Raymond ChambersComprehensive overview of the interests of the Italian statisticians and their international collaborations.Vast array of special topics and applications illustrating the wide use of statistical model
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,A Graphical Approach for the Selection of the Number of Clusters in the Spectral Clustering Algoritproperties developed in the context of spectral clustering theory. Finally, the performance of our proposal is illustrated on ground of some numerical studies based on both synthetic and real datasets.
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,Forecasting Combination of Hierarchical Time Series: A Novel Method with an Application to CoVid-19o a set of optimally combined predictions, generated by different statistical models. The goodness of the proposed method will be evaluated using the official time series related to the number of people tested positive to the SARS-CoV-2 in each of the Italian regions, between February 24th 2020 and August 31th 2020.
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