Professor Liu Xiaohui’s Research Achievements Published in JASA

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Recently, Professor Liu Xiaohui from the School of Statistics and Data Science, along with co-authors Professor Wei Long, Professor Yang Bingduo, and Professor Peng Liang, published a research paper titled A Unified Inference for Predictive Quantile Regression in the prestigious international statistical journal, Journal of the American Statistical Association.（JASA）.  

JASA is a professional statistical journal published by the American Statistical Association. It is one of the top academic journals in the field of statistics, known for its high-quality papers and wide coverage of research areas. It has published numerous important statistical innovations. Currently, it is one of the four journals listed in the internationally renowned A-class list for statistical research at our university. The inclusion of our faculty's paper in JASA has a strong motivating and exemplary effect on the academic research of the School.

Professor Liu Xiaohui has long been engaged in research in the fields of statistical depth functions, time series analysis, mixed effects models, and high-dimensional low-rank trace regression. He has made original contributions in areas such as the computation and robustness properties of statistical depth functions, and the unified testing of time series models with non-stationary characteristics. He has published more than 60 academic papers in domestic and international journals, including "Scientia Sinica(Mathematica)," "Acta Mathematica Sinica," "Journal of the American Statistical Association," "Journal of Econometrics," "Journal of Business & Economic Statistics," "Journal of Computational and Graphical Statistics," "Journal of Statistical Software," "Statistica Sinica," "Oxford Bulletin of Economics and Statistics," and "Annals of Tourism Research." He has solved open problems such as the exact computation of projection depth and the derivation of finite sample breakdown point expressions for Tukey median. His achievements in related areas have been cited by international renowned experts in robust statistics, such as Professor Peter Rousseeuw, a member of the Royal Academy of Belgium, and Professor P.C.B. Phillips, a well-known econometrician from Yale University. In recent years, he has actively participated in guiding young teachers and graduate students in conducting research in the field of data science, such as high-dimensional data analysis and data fusion. He has also co-authored multiple collaborative papers published in authoritative A and B+ journals both domestically and internationally.