Automated outlier detection and estimation of missing data

Jinwook Rhyu, Dragana Bozinovski, Alexis B. Dubs, Naresh Mohan, Elizabeth M. Cummings Bende, Andrew J. Maloney, Miriam Nieves, Jose Sangerman, Amos E. Lu, Moo Sun Hong, Anastasia Artamonova, Rui Wen Ou, Paul W. Barone, James C. Leung, Jacqueline M. Wolfrum, Anthony J. Sinskey, Stacy L. Springs, Richard D. Braatz

Abstract: Highlights•An approach is proposed for automated outlier detection and missing data estimation.•The approach incorporates a range of missing data estimation algorithms.•The approach is demonstrated for a continuous biomanufacturing pilot facility.•Matrix completion methods performed best for most patterns of missing data.•Open-source software is provided that implements the approach and case study.