Nominator's project description
| Jianqing Fan's work includes different areas of stochastics, statistics, mathematics and computational biology. Special emphasis in his work is put on the modelling and prediction of regression relations under weak structural assumptions. His outstanding knowledge of nonparametric techniques and his skills in mathematics make it possible to combine these seemingly separate fields of science.
His leading contributions make use of the toolbox of modern mathematical statistics (time varying parametric models, semiparametric high dimensional modelling, additive models). The wide spectrum of J. Fan's publications, which are published in the most outstanding journals of statistical science, proves the extent of his mathematical skills. He handles with great diligence modern procedures of spatial inhomogeneity and smoothing techniques to solve questions in time homogenious semiparametric problems.
The theoretical contributions of J. Fan to non- and semiparametric statistics are honored by a series of well endowed grants. His insights into data driven modelling have greatly influenced the theoretical and empirical literature. |
