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Peter Craigmile
(pfc@stat.osu.edu)
Associate Professor, Department of Statistics, The Ohio State
University.
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Peter F. Craigmile received a B.Sc. in Mathematics and Statistics from the
University of Glasgow, Scotland, in 1996. He received a Diploma in
Mathematical Statistics from Cambridge University, England in 1997, and a Ph.D. in Statistics from the University of Washington, Seattle
in 2000. He is currently an associate professor in the Department of
Statistics at The Ohio State University, Columbus. In 2011, Peter was awarded the El-Shaarawi Young Researcher's Award in recognition of outstanding contributions in the field of environmetrics.
His research interests involve stationary and non-stationary time series
models, long memory processes, spectral analysis, and wavelet methods.
More recently he has started working with geostatistical processes.
Recent applications of his research to scientific areas include
hierarchical Bayesian modeling for human exposures, speech and hearing
sciences, ice-core paleoclimatology, response-time data, and online
methods for biosurveillance.
See also Craigmile's web-page.
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Noel Cressie
(ncressie@stat.osu.edu)
Professor, Department of Statistics, The Ohio State University.
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Noel Cressie was born in Fremantle, Western Australia. He received
the Bachelor of Science degree with first class honours in Mathematics
from the University of Western Australia and the MA and
PhD in Statistics from Princeton University.
He was Lecturer and Senior Lecturer at The
Flinders University of South Australia; then Professor of Statistics
and Distinguished
Professor in Liberal Arts and Sciences at Iowa State University; and
he is currently Professor of Statistics, Distinguished Professor of
Mathematical and Physical Sciences, and Director of the Program in Spatial
Statistics and Environmental Statistics at The Ohio State University.
He is the author of around 250 refereed articles and of three
books, including
"Statistics for Spatio-Temporal Data,"
with Christopher K. Wikle, 2011 (Wiley). His research interests are
in the statistical modeling and analysis of spatial and
spatio-temporal data,
in Bayesian and empirical-Bayesian methods, and in environmental
sciences.
Dr. Cressie is a Fellow of the American Statistical Association,
the Institute of Mathematical Statistics, and the Spatial
Econometrics Association, and he is an Elected Member
of the International Statistical Institute.
Other honors include being awarded the
Distinguished Achievement Medal of ASA's Section on
Statistics and the Environment, the Twentieth Century Distinguished
Service Award in Environmental Statistics, the
Distinguished Scholar Award of The Ohio State University, and the
2009 Fisher Award and Lecturership from COPSS.
See also Cressie's web-page.
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Tom Santner
(tjs@stat.osu.edu)
Professor, Department of Statistics, The Ohio State University.
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Thomas Santner was born in St. Louis, Missouri in 1947 and was raised
in the Missouri and Ohio areas, graduating as Valedictorian from
Purcell High School in Cincinnati in 1965. He received a B.S. in
Mathematics with a Minor in Computer Science in 1969 from the
University of Dayton, and the M.S. and Ph.D degrees in Statistics in
1971 and 1973, respectively, both from Purdue University. His thesis
adviser was Professor Shanti Gupta. He joined the School of
Operations Research in the Engineering College of Cornell University
in 1973, where he became Professor of Statistics in 1986. He joined
the Ohio State University, Department of Statistics, as Professor and
Director of the OSU Statistical Consulting Service in 1990.
Most recently, his research interests have been in the design and
analysis of computer experiments and the analysis of environmental
data. He has had a long-time
collaboration with members of the Cornell Hospital, Special Surgery
Biomechanics Program, on the engineering design of better prosthetic
devices, which is accomplished, in part, by the use of sophisticated
computer codes. He is also a participant in the
Sources-to-Biomarkers project described on the SSES Research webpage.
Professor Santner is the co-author of three books.
The latest book (with W. Notz and B. Williams) describes strategies to plan
the running of complex computer codes ("computer experiments") and
methodology to analyze the resulting output, depending on the research
goals.
He is a past Chair of
the American Statistical Association Council of Sections Governing
Board. He is a Fellow of the American Statistical Association,
the Institute of Mathematical Statistics, and the American Association for the Advancement of Science, and he is an Elected Member of the International Statistical Institute.
See also Santner's web-page.
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Christopher Wikle
(wiklec@missouri.edu)
Professor, Department of Statistics, University of Missouri,
Columbia, MO.
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Christopher K. Wikle obtained BS and MS degrees in Atmospheric Science
from the University of Kansas in 1986 and 1989, respectively. From
1988 to 1991, he worked as an air-pollution consultant, primarily
studying potential environmental impacts of proposed power-generation
facilities. He then obtained an MS in Statistics at Iowa State
University in 1994 and a co-major PhD in both Atmospheric Science and
Statistics at Iowa State University in 1996. From 1996 to 1998 he was
a visiting scientist in the Geophysical Statistics Project at the
National Center for Atmospheric Research in Boulder, Colorado. He is
currently Professor of Statistics at the University of
Missouri, Columbia.
He is coauthor of the book, "Statistics for Spatio-Temporal Data," with Noel Cressie, 2011 (Wiley). His research interests are in spatio-temporal models, hierarchical
Bayesian methods, the introduction of physical information into
stochastic models, statistical design of environmental monitoring
networks, climate dynamics, turbulence, atmospheric waves, and the
application of statistics to geophysical and environmental processes.
Dr. Wikle is a Fellow of the American Statistical Association.
See also Wikle's web-page.
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