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简介

Wicher’s current research is focused on statistical modelling and testing using reproducing kernels and (empirical) Bayes techniques. In this context, he developed the I-prior methodology for parametric and nonparametric regression models, which is often simpler and better performing than competing methods. He isparticularly interested in graphical models and conditional independence testing. Wicher is known for his work in categorical data analysis, in particular marginal models which arise when there are nuisance dependencies in the data. With Angelos Dassios he developed the tau-star test, a scale invariant consistent test of independence.

数据校验于 9/6/2026数据来源

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