Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science: Essays in Honour of Wolfgang Schmid

Sven Knoth has been a Professor of Computational Statistics at the Helmut Schmidt University, the University of the Federal Armed Forces in Hamburg, Germany since 2009. He obtained his PhD at the TU Chemnitz in 1995 and after serving as a postdoc at the Department of Biostatistics, Heinrich Heine University in Düsseldorf, he switched to the European University Viadrina in Frankfurt (Oder), where he completed his postdoctoral studies, and worked as Senior Process Engineer and SPC Coordinator at the Advanced Mask Technology Center (AMTC) in Dresden. His main research areas are statistical process control, implementing statistical algorithms in software, and applying statistics in the engineering world. He is currently an Associate Editor of the journal Computational Statistics.

Yarema Okhrin is Professor of Statistics and Data Science at the University of Augsburg, Germany. He teaches financial econometrics, data science, machine learning, and multivariate data analysis. His research focuses on multivariate statistics and econometrics, and machine learning with applications to finance, statistical surveillance and computational statistics. He previously worked as Assistant Professor of Econometrics at the University of Bern and at the European University Viadrina. He is the Co-Editor-in-Chief of AStA Advances in Statistical Analysis.

Philipp Otto is a Professor of Statistics and Data Analytics at the School of Mathematics and Statistics, University of Glasgow, UK. Previously, he was an Associate Professor (Reader) at the same university, as well as an Assistant Professor of Big Geospatial Data at the Institute of Cartography and Geoinformatics at Leibniz University Hannover and the interim Professor of Spatial Data Analysis and Statistical Learning at the University of Göttingen. Before that, he led the junior research group Detection and Surveillance of Spatial and Spatiotemporal Clusters at the Viadrina Center B/ORDERS IN MOTION at the European University in Frankfurt (Oder), where he also obtained his Ph.D. in Statistics in 2016. His research focuses on statistical data science and statistical methodology for data in multidimensional spaces, including geo-referenced data, spatiotemporal statistics, statistical learning, environmetrics, statistical process control and network modelling. He is actively involved in the scientific community as an Associate Editor of three journals.

Sven Knoth 自 2009 年以來一直擔任德國漢堡赫爾穆特·施密特大學的計算統計學教授。他於 1995 年在德國化學工業大學獲得博士學位，之後在杜塞爾多夫海因里希·海涅大學的生物統計學系擔任博士後研究員，隨後轉至法蘭克福（奧德河）的歐洲大學維亞德里納，完成博士後研究，並在德累斯頓的先進掩模技術中心（AMTC）擔任高級流程工程師和統計過程控制協調員。他的主要研究領域包括統計過程控制、在軟體中實現統計演算法，以及在工程領域應用統計學。他目前是期刊《Computational Statistics》的副編輯。

Yarema Okhrin 是德國奧格斯堡大學的統計學和數據科學教授。他教授金融計量經濟學、數據科學、機器學習和多變量數據分析。他的研究重點是多變量統計學和計量經濟學，以及應用於金融、統計監測和計算統計的機器學習。他曾在伯爾尼大學和歐洲大學維亞德里納擔任計量經濟學助理教授。他是期刊《AStA Advances in Statistical Analysis》的共同主編。

Philipp Otto 是英國格拉斯哥大學數學與統計學院的統計學和數據分析教授。此前，他在同一所大學擔任副教授（Reader），並在漢諾威萊布尼茲大學的地圖學與地理資訊學研究所擔任大地理空間數據助理教授，以及在哥廷根大學擔任空間數據分析和統計學習的臨時教授。在此之前，他在法蘭克福（奧德河）的歐洲大學維亞德里納的 B/ORDERS IN MOTION 中心領導了一個關於空間和時空集群檢測與監測的初級研究小組，並於 2016 年獲得統計學博士學位。他的研究專注於統計數據科學和多維空間數據的統計方法，包括地理參考數據、時空統計、統計學習、環境計量學、統計過程控制和網絡建模。他積極參與科學社群，擔任三本期刊的副編輯。