Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights
暫譯: 導航複雜性：可行見解的統計方法、數據分析與機器學習

Paula Brito is a Professor at the Faculty of Economics of the University of Porto and Researcher at INESC TEC, Portugal. She holds a PhD in applied mathematics from Paris Dauphine University and a habilitation in applied mathematics from the University of Porto. Her research focuses on multidimensional complex data, known as symbolic data, for which she develops statistical models and multivariate analysis methodologies.

Francesco Denti is an Assistant Professor at the Department of Statistics, University of Padua. Italy. He previously held positions at Università Cattolica del Sacro Cuore in Milan and the University of California, Irvine. He is interested in Bayesian mixtures, Bayesian nonparametrics, model-based clustering, shrinkage priors, and dimensionality reduction.

Francesca Greselin is Professor of Statistics at the University of Milano-Bicocca. Her research focuses on mixture models for classification and clustering, with particular emphasis on robust methods for data analysis. Her work spans computational statistics, and the development of new inferential methods for the study of economic inequality. She is Past President of CLADAG-SIS and serves as Associate Editor of Statistics and Computing.

Krzysztof Jajuga is a Professor of Finance at Wroclaw University of Economics and Business, Poland. He holds a doctoral and habilitation degree from Wroclaw University of Economics and Business and the titular professor given by the President of Poland. He is the President of the International Federation of Classification Societies (IFCS). He has authored papers and monographs in financial markets, risk management, data analysis, artificial intelligence, multivariate statistics, econometrics and real estate in Polish and English.

Mariangela Zenga is an Associate Professor in Social Statistics at the University of Milano-Bicocca, Italy. Her research interests are in models to study the flows of patients in hospitals, in the gender gap in higher education and in labour market studies.

保拉·布里托是波爾圖大學經濟學院的教授及葡萄牙INESC TEC的研究員。她擁有巴黎多芬大學的應用數學博士學位，以及波爾圖大學的應用數學資格認證。她的研究專注於多維複雜數據，稱為符號數據，並為此開發統計模型和多變量分析方法。

法蘭切斯科·丹提是意大利帕多瓦大學統計系的助理教授。他曾在米蘭的天主教聖心大學和加州大學爾灣分校任職。他對貝葉斯混合模型、貝葉斯非參數、基於模型的聚類、收縮先驗和降維等主題感興趣。

法蘭切斯卡·格雷塞林是米蘭比科卡大學的統計學教授。她的研究專注於用於分類和聚類的混合模型，特別強調數據分析的穩健方法。她的工作涵蓋計算統計學，以及為研究經濟不平等而開發的新推斷方法。她曾擔任CLADAG-SIS的前任會長，並擔任《統計與計算》的副編輯。

克日什托夫·雅尤加是波蘭弗羅茨瓦夫經濟與商業大學的金融學教授。他擁有弗羅茨瓦夫經濟與商業大學的博士學位和資格認證，並由波蘭總統授予名譽教授稱號。他是國際分類學會聯合會（IFCS）的會長。他在金融市場、風險管理、數據分析、人工智慧、多變量統計學、計量經濟學和房地產等領域發表了多篇論文和專著，並以波蘭語和英語撰寫。

瑪莉安傑拉·曾加是意大利米蘭比科卡大學的社會統計學副教授。她的研究興趣包括研究醫院病人流動的模型、高等教育中的性別差距以及勞動市場研究。