Ken Ryan's Webpage

Welcome to my webpage! I am a Professor of Statistics at West Virginia University (WVU) within its School of Mathematical and Data Sciences (SMDS) and a Fellow of the American Statistical Association.

Fall 2024 Teaching:

• STAT 312: TR 8:30am-9:45am.
• STAT 215: TR 10:00am-11:15am.
• See eCampus for additional course information.
• Click here for the textbook datasets (STAT 312 or 445/545).
• Office hours: TBD.

Research:

You can trace my mathematics genealogy back to Poisson, Lagrange, Laplace, Euler, Johann Bernoulli, and Jacob Bernoulli. My research interests include semi-supervised learning and design of experiments. Selected papers are below. My CV and Google Scholar Profile have a complete list of refereed publications.

Selected Papers:

• Culp, M.V., Ryan, K.J., Banerjee, P., and Morehead, M. (2019), “On data integration problems with manifolds,” Technometrics, 61, 2, 165-175. [paper]
• Culp, S.L., Ryan, K.J., Chen, J., and Hamada, M.S. (2018), “Analysis of repeatability and reproducibility studies with ordinal measurements,” Technometrics, 60, 4, 545-556. [paper][R package]
• Ryan, K.J. and Culp, M.V. (2015), “On semi-supervised linear regression in covariate shift problems,” Journal of machine learning research, 16, 3183-3217. [paper][coded example]
• Culp, M.V. and Ryan, K.J. (2013), “Joint harmonic functions and their supervised connections,” Journal of machine learning research, 14, 3721-3752. [paper]
• Ryan, K.J. and Bulutoglu, D.A. (2010), “Minimum aberration fractional factorial designs with large N,” Technometrics, 52, 2, 250-255. [paper]
• Ryan, K.J. (2009), “Approximate confidence intervals for p when double sampling,” The American statistician, 63, 132-140. [paper]
• Ryan, K.J. and Bulutoglu, D.A. (2007), “E(s²)-Optimal supersaturated designs with good minimax properties,” Journal of statistical planning and inference, 137, 7, 2250-2262. [paper]
• Reese, C.S., Wilson, A.G., Hamada, M., Martz, H.F., and Ryan, K.J. (2004), “Integrated analysis of computer and physical experiments,” Technometrics, 46, 2, 153-164. [paper]
• Ryan, K.J. (2003), “Estimating expected information gains for experimental designs with application to the random fatigue-limit model,” Journal of computational and graphical statistics, 12, 3, 585-603. [paper]

WVU MOUNTAINEERS

Please address comments to Professor Ken Ryan.
Last update: July 2024.