Professor Noel Cressie is a researcher in statistical modelling and analysis of
spatial and spatio-temporal data, in Bayesian and empirical-Bayesian methods, and in
environmental sciences. 

The methodology has been applied in areas of ‘big science’ such as remote sensing of the
earth on a global scale, regional climate modelling in space and time, and Bayesian
statistical exposure modelling from sources to biomarkers. Other research areas include
spatial command and control, disease mapping, medical imaging, and ice-stream dynamics. 

Professional Activities and Affiliations: • Fellow of the American Statistical
Association (ASA) • Fellow the Institute of Mathematical Statistics • Fellow of the
Spatial Econometrics Association • Elected Member of the International Statistical
Institute • Member of the International Association for Mathematical Geosciences
International Society for Bayesian Analysis International Statistical Institute • Member
of the Royal Statistical Society • Member of The International Environmetrics Society •
Vice President, South Australian Branch, Statistical Society of Australia, 1978-1979 •
President, South Australian Branch, Statistical Society of Australia, 1979-1980 •
Secretary/Treasurer, American Statistical Association Section on Statistical Computing,
1990 • Committee on Fellows, American Statistical Association Section on Statistical
Graphics, 1990-1992 (Chair, 1992) • Member, Publications Committee, American Statistical
Association Section on Statistics and the Environment, 1991-1993 • Member, Committee on
Symposia and Conferences, American Statistical Association Section on Statistics and the
Environment, 1991-1993 • Elected to the faculty of Ecology and Evolutionary Biology
Program, Iowa State University, 1995-1998 • Chair Elect, American Statistical Association
Section on Statistics and the Environment, 1997 • Chair, American Statistical Association
Section on Statistics and the Environment, 1998 • Past Chair, American Statistical
Association Section on Statistics and the Environment, 1999 • Associate Editor, Theory
and Methods, Journal of the American Statistical Association, 1984-1988 • Editorial
Board, Chemometrics and Intelligent Laboratory Systems, 1986-1997 • Associate Editor,
Journal of Statistical Planning and Inference, 1992-1997 • Editorial Board, Statistical
Inference for Stochastic Processes, 2000-2005 • Associate Editor, Theory and Methods,
Journal of the American Statistical Association, 2002-2005 • Advisory Board, Wiley Book
Series in Probability and Statistics, 1996-present • Editorial Advisory Board,
Environmetrics, 2000-2009 • Editorial Board, Statistics Surveys, 2005-present • Editorial
Board, Mathematical Geosciences, 2007-present • Associate Editor, Journal of
Environmental Statistics, 2008-present • Associate Editor, Environmetrics, 2010-present •
Guest Editor, special issue on Time Series in the Environmental Sciences, Journal of Time
Series Analysis, 2010-2011 Associate Editor, Spatial Statistics, 2012-present • Please
see Dr. Cressie’s CV for full details: http://www.stat.osu.edu/~ncressie/Cressie-CV.pdf

Journal Articles

Bayesian hierarchical ANOVA of regional climate-change projections from NARCCAP Phase II (with Emily L. Kang), Faculty of Informatics - Papers (2012)

We consider current (1971-2000) and future (2041-2070) average seasonal surface temperature fields from two regional...

 
Bayesian hierarchical spatio-temporal smoothing for very large datasets (with Matthias Katzfuss), Faculty of Informatics - Papers (2012)

Spatio-temporal statistics is prone to the curse of dimensionality: one manifestation of this is inversion...

 

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Combining outputs from the North American Regional Climate Change Assessment Program by using a Bayesian hierarchical model (with Emily L. Kang and Stephan R. Sain), Faculty of Informatics - Papers (2012)

We investigate the 20-year-average boreal winter temperatures generated by an ensemble of six regional climate...

 

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Dynamical random-set modeling of concentrated precipitation in North America (with Renato Assuncao, Scott H. Holan, Michael Levine, Orietta Nicolis, Jun Zhang, and Jian Zou), Faculty of Informatics - Papers (2012)

In order to study climate at scales where policy decisions can be made, regional climate...

 
One-step estimation of spatial dependence parameters: properties and extensions of the APLE statistic (with Hongfei Li and Catherine Calder), Faculty of Informatics - Papers (2012)

We consider one-step estimation of parameters that represent the strength of spatial dependence in a...

 

Conference Papers

Spatio-temporal statistics in Earth sciences, Faculty of Informatics - Papers (Archive) (2012)
 
High-resolution digital soil mapping: kriging for very large datasets (with Emily Kang), Faculty of Informatics - Papers (Archive) (2010)

The ability to take many observations at precisely known spatial locations has given birth to...

 
Synchronous objects for one flat thing, reproduced (with Maria Palazzi, Norah Shaw, William Forsythe, Matthew Lewis, Beth Albright, Michael Andereck, Sucheta Bhatawadekar, Hyowon Ban, Andrew Calhoun, Jane Drozd, Joshua Fry, Melissa Quintanilha, A Reed, Benjamin Schroeder, Lily Skove, Ashley Thorndike, Mary Twohig, Ola Ahlqvist, Peter Chan, Stephen Turk, Jill Johnson, Christopher Roman, Elizabeth Waterhouse, Scott Delahunta, Patrick Haggard, and Alva Noe), Faculty of Informatics - Papers (2009)

Synchronous Objects for One Flat Thing, reproduced is an interactive screen-based work developed by The...

 

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Data mining of MISR aerosol product using spatial statistics (with Tao Shi), Faculty of Informatics - Papers (Archive) (2007)

In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over...

 
Geostatistical prediction of spatial extremes and their extent (with J Zhang and Peter Craigmile), Faculty of Informatics - Papers (Archive) (2005)
 

Book Chapter

Geographic Information Systems (GISs), spatial statistics in (with Desheng Liu), Faculty of Informatics - Papers (Archive) (2012)

A Geographic Information System (GIS) is a networked collection of hardware and software tools that...

 
Using power-divergence statistics to test for homogeneity in product-multinomial distributions (with Frederck M. Medak), Faculty of Informatics - Papers (2011)

Testing for homogeneity in the product-multinomial distribution, where the hypotheses are hierarchical, uses maximum likelihood...

 
Kriging and variogram models (with Catherine Calder), Faculty of Informatics - Papers (Archive) (2009)

Geostatistics is a popular class of statistical methods for estimating, or predicting, the value of...

 
Doctors prescribing patterns in the Midi Pyrenees region of France: Point process aggregation (with O Perrin and C Thomas-Agnan), Faculty of Informatics - Papers (Archive) (2006)
 
Geographic Information Systems (GIS), spatial statistics, Faculty of Informatics - Papers (Archive) (2002)
 

Book

Statistics for Spatio-Temporal Data (with Christopher Wikle), Faculty of Informatics - Papers (Archive) (2011)
 
Statistics for Spatial Data, Faculty of Informatics - Papers (Archive) (1991)
 
Goodness-of-fit statistics for discrete multivariate data (with Timothy R. Read), Faculty of Informatics - Papers (Archive) (1988)