The Scandinavian Journal of Statistics is pleased to announce that Sangita Kulathinal, Jakko Peltonen, and Mikko J. Sillanpää have joined the journal as Editors for the next three years. They replace Håkon K. Gjessing and Hans J. Skaug whose services over the last three years to the journal are greatly appreciated. 

Sangita Kulathinal, PhD, is a professor of statistics, Vice-head, Department of Mathematics and Statistics, University of Helsinki, Finland. She is a visiting researcher at the Finnish Institute for Health and Welfare. She earned her PhD in statistics from the Savitribai Phule University of Pune, India. Sangita has long-standing expertise in the design and analysis of cohort studies, and in event history analysis. She coordinated an international statistics group in the multi-centric study MORGAM, and designed a case-cohort study for the genetic part of the project. Her research spans theoretical statistics, stochastics, biostatistics, and register-based studies and development of methods to handle complex data including missing data.

Jaakko Peltonen, D.Sc., is a professor of statistics and data analysis at the Faculty of Information Technology and Communication Sciences, Tampere University, Finland where he leads the Statistical Machine Learning and Exploratory Data Analysis research group. His research spans exploratory analysis of large and high-dimensional data, including dimensionality reduction for data visualization, modeling of text data, and learning from multiple data sources. He has served in several journal editorial boards and numerous conference program committees, and is an executive committee member of the European Neural Network Society.

Mikko J. Sillanpää, PhD, is a professor of statistics and the department chair at the Research Unit of Mathematical Sciences, University of Oulu, Finland. He has a long and acknowledged experience in Bayesian statistics and computational methods in high-dimensional problems in biology, medicine and other fields. He is a Director of the University of Oulu HiDyn program 2019-2025 funded by the Academy of Finland PROFI5: multidisciplinary data science and artificial intelligence hub strengthening all of University of Oulu’s profiling areas and the 6G Flagship.

Recognised as a leading journal in its field, the Scandinavian Journal of Statistics is an international publication devoted to reporting significant and innovative original contributions to statistical methodology, both theory and applications.  The journal specialises in statistical modelling showing particular appreciation of the underlying substantive research problems. The Scandinavian Journal of Statistics is published under the auspices of the Nordic statistical associations: Danish Society for Theoretical Statistics, Finnish Statistical Society, Norwegian Statistical Association and Swedish Statistical Society.