Yongtao Guan, Ph.D.
Assistant Professor,
Biostatistics
Laboratory Web page
Professor Guan's research interests are in developing new spatial statistics techniques for the analysis of spatial data that often arise in biological, epidemiological and public health studies. For theoretical and methodological research, he is developing new statistical tools that can be used to model inhomogeneous spatial point patterns. For applications in public health research, he is currently involved in two projects. Working with Professor Durland Fish’s group, Professor Guan is developing spatial models for Lyme disease risks in the United States by using satellite imagery data and locally collected environmental data. Working with Professor Brian Leaderer’s group, Professor Guan is studying the relationship between daily level of air pollutants and daily respiratory symptoms of asthmatic children.
Curriculum Vitae
Education
Ph.D. in Statistics, Texas A&M University, 2003
Selected Publications
Guan, Y., Waagepetersen, R. and Beale, C. Second-Order Analysis of Inhomogeneous Spatial Point Processes with Proportional Intensity Functions. Journal of the American Statistical Association, in press.
Guan, Y. A Goodness-of-fit Test for Inhomogeneous Spatial Poisson Processes. Biometrika, in press.
Guan, Y. A KPSS Test for Stationarity for Spatial Point Process. Biometrics, in press.
Guan, Y. Variance Estimation for Statistics Computed from Inhomogeneous Spatial Point Process. Journal of the Royal Statistical Society, Series B 70(1): 175-190, 2007.
Guan, Y. and Loh, J. M. A Thinned Block Bootstrap Procedure for Variance Estimation Inhomogeneous Spatial Point Patterns. Journal of the American Statistical Association 102: 1377-1386, 2007
Guan, Y. and Sherman, M. On Least Squares Fitting for Stationary Spatial Point Processes. Journal of the Royal Statistical Society Series B 69(1): 31-49, 2007.
Guan, Y. A Composite Likelihood Approach in Fitting Spatial Point Process Models. Journal of the American Statistical Association 101: 1502-1512, 2006.
Guan, Y., Sherman, M., and Calvin J.A. A Nonparametric Test for Spatial Isotropy Using Subsampling. Journal of the American Statistical Association Theory and Methods 99: 810-821, 2004.
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