International PhD course in Nonlinear Statistics
June 13th: Social programme updated
June 12th: Lecture slides and practical documents
June 7th: Programme and syllabus updated.
June 2nd: Syllabus and suggested reading material for the course can be found here.
Location and date: The course will take place June 12-16 on the campus of the University of Copenhagen.
- All days except Wednesday, the lectures and practicals will take place in lecture hall 4-0-02 in the Biocenter building, found on Ole Maaløe's Vej 5.
- On Wednesday the lectures and practicals will take place in Auditorium 04 in the HCØ building, Universitetsparken 5 (other end of same campus).
- The Monday poster session will take place in Sigurdsgade 41
- The Thursday conference dinner will take place in Kulturhuset Islands Brygge
See also the map
Nonlinear statistics is an increasingly active research field at the intersection of geometry, statistics, machine learning and algorithmics.
Nonlinear statistics seeks to answer fundamental questions that arise when defining new statistical models and tools for analysis of data that exhibits nonlinearity. Such data is becoming increasingly prevalent in diverse fields including computational anatomy, phylogenetics, and computational biology, and are also receiving increased interest in machine learning, where nonlinearity adds to the possible flexibility of a predictive model. In addition to impact on applied problems, theoretical advances in nonlinear statistics also provides new insight into methodology from traditional linear statistics.
Anuj Srivastava, Department of Statistics, Florida State University
Tom Nye, School of Mathematics and Statistics, Newcastle University
Tom Fletcher, Scientific Computing and Imaging institute, University of Utah
Stefan Sommer, DIKU
Aasa Feragen, DIKU