Radka Sabolova is a postdoc. She holds a PhD in mathematical statistics from Charles University in Prague and previously worked as a research associate at the Open University, United Kingdom, where she did research in multivariate statistics and information geometry.
Research in theoretical statistics:
- saddlepoint methods (saddlepoint tests and density approximations), applications in quantile regression
- multivariate statistics – goodness-of-fit tests for large sparse data
- information geometry