Introduction
Peter F. Craigmile is an Associate Professor of Statistics at The Ohio State University.
He has a B.Sc. (Hons) in Mathematics and Statistics from the University of Glasgow, Scotland (June 1996), and a Diploma in Mathematical Statistics from Cambridge University, England (June 1997). He received a Ph.D. in Statistics from the University of Washington in December 2000. His Ph.D thesis title was "Wavelet-Based Estimation for Trend Contaminated Long Memory Processes". His advisors were Donald Percival and Peter Guttorp. He was then a lecturer at the University of Washington before joining The Ohio State University in September, 2001.
Dr. Craigmile's research interests include time series analysis, longitudinal methods, and spatial statistics. He is interested in the use of spectral and wavelet methods to investigate dependency structures and to analyze periodicities and trends. One application of this is to the study of long memory processes. In the area of spatial statistics, he does research in the study of space-time processes and the prediction of spatial exceedances. He enjoys application-oriented research.
He is a member of the American Statistical Association, the Institute of Mathematical Statistics and The Royal Statistical Society.
