商品描述
This volume gathers peer-reviewed contributions presented at the 6th International Workshop on Functional and Operatorial Statistics, IWFOS 2025, held in Novara, Italy, June 25-27, 2025. Covering a broad spectrum of topics in functional and operatorial statistics and related fields, including high-dimensional statistics and machine learning, the contributions tackle both fundamental theoretical challenges and practical applications. A variety of features of statistics for functional data are addressed, such as estimation of functional features, exploration and pre-processing of functional data, methodologies for functional regression and forecasting problems, unsupervised and supervised classification, and testing procedures. Nonstandard functional data and situations which go beyond the pattern of samples of independent variables are investigated, and a link to the field of artificial intelligence is presented. Interesting real data applications to medicine, health, economics and the natural, environmental and social sciences are featured throughout. Initiated at the University of Toulouse in 2008, the series of IWFOS workshops fosters discussion and international collaboration on theoretical advancements, methodological innovations, and applications in functional and operatorial statistics and related fields. Chapter 42 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
商品描述(中文翻譯)
本卷匯集了於2025年6月25日至27日在意大利諾瓦拉舉行的第六屆國際功能與運算統計研討會（IWFOS 2025）上發表的經過同行評審的貢獻。
涵蓋功能與運算統計及相關領域的廣泛主題，包括高維統計和機器學習，這些貢獻探討了基本理論挑戰和實際應用。針對功能數據的統計特徵，討論了多種特性，例如功能特徵的估計、功能數據的探索與預處理、功能回歸和預測問題的方法論、無監督和監督分類以及檢驗程序。研究了非標準功能數據及超越獨立變數樣本模式的情況，並呈現了與人工智慧領域的聯繫。整本書中展示了有趣的實際數據應用於醫學、健康、經濟以及自然、環境和社會科學。
IWFOS研討會系列始於2008年在圖盧茲大學，旨在促進功能與運算統計及相關領域的理論進展、方法創新和應用的討論與國際合作。
第42章可在link.springer.com上以創用CC 4.0國際授權的方式開放訪問。
作者簡介
Germán Aneiros is a Full Professor of Statistics at the University of A Coruña, Spain. His main research interest focuses on scalar-on-function regression models, covering linear, nonparametric, partial linear and single index regression. His interests also include the case of high-dimensional covariates. He is an Associate Editor of the journals Computational Statistics and Journal of Multivariate Analysis. Enea G. Bongiorno is an Associate Professor in Statistics at Università del Piemonte Orientale in Novara, Italy. His interests include non- and semi-parametric methods and small ball probability for functional data. He is a fellow of the Bernoulli Society, and IASC (International Association for Statistical Computing) of which he was scientific secretary of the European Regional Section and on the board of directors. He is an Associate Editor of the journals Computational Statistics & Data Analysis and Computational Statistics. Aldo Goia is a Full Professor of Statistics at Università del Piemonte Orientale in Novara, Italy. His research focuses on statistical methods for functional data and in particular on non-parametric and semi-parametric regression models, the small ball probability factorization and the study of complexity. He is an Associate Editor of the journal Computational Statistics. Marie Husková is a Full Professor of Mathematical Statistics at Charles University in Prague, Czech Republic. She is the author of more than 130 scientific papers, mainly on asymptotic statistics, nonparametric and multivariate statistics and change-point problems. She is an Associate Editor of the journals Metrika, Statistics, and Sequential Analysis, and is a former Associate Editor of the Journal of Statistical Planning and Inference and REVSTAT. She is an elected member of ISI and a fellow of IMS. For several years, she was the Chair of the European Regional Committee of the Bernoulli Society and a member of the Council of ISI.
作者簡介(中文翻譯)
德曼·阿內羅斯是西班牙拉科魯尼亞大學的統計學全職教授。他的主要研究興趣集中在標量對函數的迴歸模型上，包括線性、非參數、部分線性和單指數迴歸。他的興趣還包括高維協變量的情況。他是期刊《計算統計》和《多變量分析期刊》的副編輯。 埃內亞·G·邦喬諾是意大利諾瓦拉的皮埃蒙特東部大學的統計學副教授。他的研究興趣包括非參數和半參數方法以及功能數據的小球概率。他是伯努利學會的會員，並且是國際統計計算協會（IASC）的成員，曾擔任歐洲區域分會的科學秘書和董事會成員。他是期刊《計算統計與數據分析》和《計算統計》的副編輯。 阿爾多·戈亞是意大利諾瓦拉的皮埃蒙特東部大學的統計學全職教授。他的研究專注於功能數據的統計方法，特別是非參數和半參數迴歸模型、小球概率分解和複雜性研究。他是期刊《計算統計》的副編輯。 瑪麗·胡斯科娃是捷克共和國布拉格查理大學的數學統計學全職教授。她是130多篇科學論文的作者，主要涉及漸近統計、非參數和多變量統計以及變點問題。她是期刊《Metrika》、《Statistics》和《Sequential Analysis》的副編輯，並曾擔任《統計計劃與推斷期刊》和《REVSTAT》的副編輯。她是國際統計學會（ISI）的當選成員，也是數學統計學會（IMS）的會員。多年來，她擔任伯努利學會歐洲區域委員會的主席，並且是ISI理事會的成員。
