Recently, a collaborative research paper titled On optimal blocked definitive screening designs: Theoretical insights and computational simplifications—co-authored by Associate Professor Hu Bo from the School of Statistics at DUFE, Professor Fasheng Sun from Northeast Normal University, and Professor Yaping Wang from East China Normal University—has been accepted and officially published online by the Scandinavian Journal of Statistics (SJS), a globally recognized authoritative journal in the field of statistics.

Abstract

Definitive screening designs (DSDs) are a novel class of three-level designs that yield efficient estimates of main effects without aliasing with second-order effects. While orthogonal and pairwise blocking schemes have been proposed for DSDs, their theoretical properties remain partially unexplored, resulting in computational challenges in searching for optimal blocked DSDs. In this paper, we obtain several theoretical insights into optimal blocked DSDs under the linear-plus-quadratic effects model. Our results not only demonstrate the optimality of some existing blocked DSDs but also substantially alleviate the complexities involved in identifying optimal orthogonal blocked DSDs.

Significance for DUFE

This achievement not only highlights Associate Professor Bo Hu’s academic excellence in statistical research but also reflects DUFE’s commitment to fostering high-impact, interdisciplinary scholarship. By publishing in the Scandinavian Journal of Statistics—a flagship venue for global statistical research—DUFE further strengthens its international academic influence and opens new opportunities for collaborative research with leading institutions worldwide.

Written by: Hu Bo

Source: School of Fintech