Katie Severn

Contact

• workRoom B51 Mathematical Sciences
  University Park
  Nottingham
  NG7 2RD
  UK
• work0115 8467413
• Katie.Severn@nottingham.ac.uk

Biography

Deputy director of Equality, Diversity and Inclusion (EDI) within the school of mathematical sciences

Research Summary

Current areas of interest:

• Statistical network analysis,
• Manifold valued data analysis,
• Functional data analysis,
• Machine learning,
• Text analysis,
• Statistics for social good

Selected Publications

• KIM, KWANG-RAE, DRYDEN, IAN L., LE, HUILING and SEVERN, KATIE E., 2021. Smoothing splines on Riemannian manifolds, with applications to 3D shape space JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 83(1), 108-132
• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Non-parametric regression for networks Stat. 10(1),
• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Manifold valued data analysis of samples of networks, with applications in corpus linguistics Annals of Applied Statistics. (In Press.)
• DRYDEN, IAN L., PRESTON, SIMON P. and SEVERN, KATIE E., 2019. Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 114(527), 1097-1098

• View all publications

• KIM, KWANG-RAE, DRYDEN, IAN L., LE, HUILING and SEVERN, KATIE E., 2021. Smoothing splines on Riemannian manifolds, with applications to 3D shape space JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 83(1), 108-132
• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Non-parametric regression for networks Stat. 10(1),
• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Manifold valued data analysis of samples of networks, with applications in corpus linguistics Annals of Applied Statistics. (In Press.)
• CARMEN TOMAS, EMMA WHITT, ROSA LAVELLE-HILL and KATIE SEVERN, 2019. Modeling Holistic Marks With Analytic Rubrics Frontiers in Education: Assessment, Testing and Applied Measurement. 4, 89
• DRYDEN, IAN L., PRESTON, SIMON P. and SEVERN, KATIE E., 2019. Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 114(527), 1097-1098
• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., Manifold valued data analysis of samples of networks, with applications in corpus linguistics Annals of Applied Statistics.