Noel Cressie

Centre for Environmental Informatics, NIASRA
University of Wollongong, Australia

Distinguished Professor
School of Mathematics and Applied Statistics
University of Wollongong, Australia

Adjunct Professor
Department of Statistics, University of Missouri, USA

Telephone 02 4221 5076
Fax 02 4221 4998
Email ncressie {at}
LinkedIn Page
Curriculum Vitae Curriculum Vitae

Research Interests

Theory and applications of spatial and spatio-temporal stochastic models; Bayes and empirical-Bayes methods for hierarchical statistical models; environmental informatics.




Cressie, N. and Wikle, C.K. (2011). Statistics for Spatio-Temporal Data. Wiley, Hoboken, NJ (588 pp.).


Cressie, N. (1993). Statistics for Spatial Data, rev.edn. Wiley, New York, NY (900 pp.). (Original edition, 1991. Paperback edition in the Wiley Classics Library: Wiley, Hoboken, NJ, 2015).


Read, T.R.C. and Cressie, N. (1988). Goodness-of-fit Statistics for Discrete Multivariate Data. Springer, New York, NY (211pp.).

Selected Publications


Cressie, N. and Kang, E.L. (2016). Hot enough for you? A spatial exploratory and inferential analysis of North American climate-change projections. Mathematical Geosciences, 48, 107-121.

Cressie, N. and Zammit-Mangion, A. (2016). Multivariate spatial covariance models: A conditional approach. Biometrika103, 915-935.


Sengupta, A. and Cressie, N. (2013). Hierarchical statistical modeling of big spatial datasets using the exponential family of distributions. Spatial Statistics, 4, 14-44.


Nguyen, H., Cressie, N., and Braverman, A. (2012). Spatial statistical data fusion for remote sensing applications. Journal of the American Statistical Association, 107, 1004-1018.


Cressie, N., Shi, T., and Kang, E.L. (2010). Fixed rank filtering for spatio-temporal data. Journal of Computational and Graphical Statistics, 19, 724-745.


Cressie, N., Calder, C.A., Clark, J.S., Ver Hoef, J.M., and Wikle, C.K. (2009). Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling (with discussion). Ecological Applications, 19, 553-570.


Cressie, N. and Johannesson, G. (2008). Fixed rank kriging for very large spatial data sets. Journal of the Royal Statistical Society, Series B, 70, 209-226.


Shen, X., Huang, H.C., and Cressie, N. (2002). Nonparametric hypothesis testing for a spatial signal. Journal of the American Statistical Association, 97, 1122-1140.


Berliner, L.M., Wikle, C.K., and Cressie, N. (2000). Long-lead prediction of Pacific SSTs via Bayesian dynamic modeling. Journal of Climate, 13, 3953-3968.


Wikle, C.K. and Cressie, N. (1999). A dimension-reduced approach to space-time Kalman filtering. Biometrika, 86, 815-829.

Cressie, N. and Huang, H.-C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical Association, 94, 1330-1340.


Cressie, N. and Morgan, P.B. (1993). The VPRT: A sequential testing procedure dominating the SPRT. Econometric Theory, 9, 431-450.


Cressie, N. and Read, T.R.C. (1984). Multinomial goodness-of-fit tests. Journal of the Royal Statistical Society, Series B, 46, 440-464.


Last reviewed: 13 September, 2017