Department of Statistics and Applied Probability
University of California, Santa Barbara
Santa Barbara, CA 93106-3110
Wendy Meiring, (Ph.D., University of Washington, Seattle) is an applied statistician in the Department of Statistics and Applied Probability at UCSB. After a postdoc with the Geophysical Statistics Project at the National Center for Atmospheric Research in Boulder, Colorado, she joined the faculty at UCSB. Her research areas include estimation of non-stationary space-time covariances, prediction of space-time processes, and functional data analysis, primarily in the environmental sciences. At the graduate level at UCSB, she has enjoyed teaching classes in Environmental Statistics, Computational Statistics, Time Series, as well as several other Applied Statistics classes.
2013: Random errors in carbon and water vapor fluxes assessed with Gaussian Processes. (Olaf Menzer, Antje Maria Moffatt, Wendy Meiring, Gitta Lasslop, Ernst Gunter Shukat-Talamazzini, Markus Reichstein), Agricultural and Forest Meteorology, Volumes 178–179, pp. 161–172.
2013: Nonparametric Regression with Basis Selection from Multiple Libraries (Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang), Technometrics 55 (2): 189–201.
2013: On the relative efficiency of a monotone parameter curve estimator in a functional nonlinear model (Eduardo L. Montoya and Wendy Meiring), Statistics and Computing 23: 425–436,
2010: Biological Communities in San Francisco Bay track large-scale climate forcing over the North Pacific. (James E. Cloern, Kathryn A. Hieb, Teresa Jacobson, Bruno Sansó, Emanuele Di Lorenzo, Mark T. Stacey, John L Largier, Wendy Meiring, William T. Peterson, Thomas M. Powell,
Monika Winder, Alan D. Jassby), Geophysical Research Letters 37: L21602,
2007: Oscillations and Time Trends in Stratospheric Ozone Levels: A Functional Data Analysis Approach (Wendy Meiring), Journal of the American Statistical Association 102: 788–802.
1999: Identifiability for non-stationary spatial structure (Olivier Perrin and Wendy Meiring), Journal of Applied Probability 36: 1244–1250.
1997: Developments in the modelling of nonstationary spatial covariance structure from space-time monitoring data. (Wendy Meiring, Pascal Monestiez, Paul D. Sampson, and Peter Guttorp), Geostatistics Wollongong ‘96, vol.1, E.Y. Baafi and N. Schofield (eds), Kluwer Academic Publishers, pp. 162–173.
1994: A space-time analysis of ground-level ozone data. (Peter Guttorp, Wendy Meiring and Paul D. Sampson), Environmetrics 5: 241–254.