Handling missing birthdates in marginal regression analysis with recurrent events. - Matthew Pietrosanu; Rhonda J. Rosychuk; X. Joan Hu (Commun. Stat. Simul. Comput., 2021)

Advanced algorithms for penalized quantile and composite quantile regression. - Matthew Pietrosanu; Jueyu Gao; Linglong Kong; Bei Jiang; Di Niu (Comput. Stat., 2021)

Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach. - Matthew Pietrosanu; Linglong Kong; Yan Yuan; Rhonda C. Bell; Nicole Letourneau; Bei Jiang (Entropy, 2022)

Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder. - Johannes Kiechle; Dylan Miller; Jordan Slessor; Matthew Pietrosanu; Linglong Kong; Christian Beaulieu; Dana Cobzas (ISBI, 2023)

A Bayesian hierarchical model for orthogonal Tucker decomposition with oblivious tensor compression. - Matthew Pietrosanu; Bei Jiang; Linglong Kong (Knowl. Inf. Syst., 2025)