Kenneth Joseph Ryan’s Webpage

Ken Ryan

Welcome to my webpage! I am a Professor in the Department of Statistics (STAT) at West Virginia University (WVU). STAT is in the WVU Eberly College of Arts and Sciences. The information below is related to my main duties at WVU.

Spring 2019 Teaching:


You can trace my mathematics genealogy. My research interests include semi-supervised learning and design of experiments. My CV and Google Scholar Profile have a complete list of refereed publications. If you would like to discuss related problems, please contact me. (An email address is given at the bottom of this page; more contact information is available by clicking on my picture above.)

Selected Papers:

Culp, M.V., Ryan, K.J., Banerjee, P., and Morehead, M., “On data integration problems with manifolds,” Technometrics, in press. [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]

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]


Please address comments to Professor Ken Ryan.
Last update: December 2018.