SemStat Elements is the exclusive vehicle for short monographs prepared by the invited lecturers at the Seminaires Européens de Statistiques (SemStat). SemStat is known for high-quality courses of expository lectures on important new developments in statistics delivered at a biennial meeting to an audience of advanced Ph.D. students. Each meeting is organized around a particular theme by the European Regional Committee of the Bernoulli Society, and the Bernoulli Society sponsors the SemStat Elements series.
Elements in this series
About the Editor
Ernst Wit is Chair of Statistics and Probability at the University of Groningen. He was the Chair of the European Regional Committee (ERC) of the Bernoulli Society (2013 - 2015), which revived the SemStat series. He is currently coordinating a European COST Action on Statistical Network Science and is a member of the ERC and the Board of Directors of the IBS. He has broad interests in statistics and its applications, ranging from high-dimensional inference, network analyses, statistical systems biology, optimal design and algebraic approaches to statistics.
Advisory Board
SemStat Element is published under the auspices of the European Regional Committee of the Bernoulli Society.
Areas of Interest
- Causal Inference
- Model selection and inference
- Bayesian nonparametrics
- Statistics for big data (large p, small n)
- Functional data analysis
- copulas and dependence structures
- Differential geometry of statistical models
- Statistics for differential equations