Zhen Luo
- Zhen Luo
- Assistant Professor of Statistics
- Ph.D.: University of Wisconsin at Madison, 1996
Dr. Luo's research interests include multivariate function estimation,
statistical computing, stochastic modeling and model diagnostics.
His work in the area of multivariate function estimation concerns
various issues in spatial-temporal analysis using smoothing spline
methods, such as efficient algorithms that take advantage of special
data structures existing in many data sets of spatial-temporal type,
spatial adaptive smoothing methods which can vary their amount of
smoothing according to the signals at different locations, and
methods to choose appropriate models.
His work in the area of model diagnostics focuses on developing
methods to find the most influential data
points when fitting a model. Those data points usually either result
from various errors, or have special characteristics worth extra
attention.
Dr. Luo is also interested in statistical problems arising from atmospheric
sciences and biosciences in general. He is currently working on a problem of
assessing the global climate history based on noisy data scattered over
both spatial and temporal domains.
Representative Publications
Luo, Z. (1996). Backfitting in smoothing spline ANOVA with
application to historical global temperature data (Ph.D. thesis).
Technical Report No. 964. Department of Statistics, University of
Wisconsin at Madison.
Wu, X. and Z. Luo (1993). Second-order Approach to Local Influence.
J. Royal Statist. Soc. Ser. B} 55:929-936.
Wu, X. and Z. Luo (1993). Residual sum of squares and multiple potential,
diagnostics by a second order local approach.
Statist. Probab. Letters} 16:289-296.
Wahba, G. and Z. Luo (1996). Smoothing Spline ANOVA Fits for Very Large,
Nearly Regular Data Sets, with Application to Historical Global
Climate Data. To appear in Festschrift in Honor of
Ted Rivlin, C. Micchelli, Ed., Baltzer Press, 1996.
Luo, Z. and G. Wahba (1997). Hybrid Adaptive Splines. To appear in
J. Amer. Stat. Assoc.