Huiyan Sang's Selected Publications
* Ph.D students supervised by Sang, H.
My research was supported by NSF DMS1007618 , EARS1343155, DMS1622433,DMS1737885, and NIH NIH R01CA19776101
Zhang, B.*, Konomi, B.*, Sang, H, Karagiannis, G. and Lin, G.(2015), "Fullscale Multioutput Gaussian Process Emulator with Nonseparable Autocovariance Functions", Journal of Computational Physics, in press.
Genton, M., Padoan, S. and Sang, H. (2015), "Multivariate Maxstable Spatial Processes", Biometrika, 102, 215230.
Sang, H. (2015), "Composite Likelihood for Extreme Values", Book chapter in Extreme Value
Modeling and Risk Analysis: Methods and Applications, Chapman Hall/CRC.
Han, W., Sang, H., Sheng, M., Li, J. and Cui, S. (2015), "Efficient Learning of Statistical
Primary Patterns via Bayesian Network", Proceedings: IEEE International Conference on
Communications (ICC) , London, UK.
Zhang, B.*, Sang, H. and Huang, J.Z. (2015),
"FullScale Approximations of SpatioTemporal Covariance Models for Large Datasets", Statistica Sinica, 25, 99114.
Chakraborty, A., De, S., Bowman K., Sang, H., Genton, M. and Mallick, B. K. (2015), "Hierarchical Spatial Model for Precipitation Data from Multiple Satellites", Statistics and Computing, 25, 389405.
Konomi, B.*, Sang, H. and Mallick, B. (2014), "Adaptive Bayesian nonstationary modeling
for large spatial datasets using covariance approximations", Journal of Computational and Graphical Statistics, 23, 802829.
Sang, H. and Genton, M. (2014), "Tapered composite likelihood for spatial extremes", Spatial Statistics, 8, 86103.
Sang, H. and Huang, J.Z. (2012),
"A fullscale approximation of covariance functions for
large spatial data sets", Journal of the Royal Statistical Society, Series
B, 74, 111132.
Sang, H., Jun, M and Huang, J.Z. (2011),
"Covariance approximation for large multivariate spatial datasets with an
application to multiple climate model errors", Annals of Applied Statistics, 5, 25192548.
Genton, M., Ma, Y. and Sang, H. (2011),
"On the likelihood function of Gaussian
maxstable processes",Biometrika, 98, 481488.
Sang, H. and Gelfand, A.E. (2010),
"Continuous Spatial Process Models for Extreme Values",Journal of Agricultural, Biological and
Environmental Statistics, 15 ,4965.

Finley, A.O., Sang, H., Banerjee, S.
and Gelfand A.E. (2009), "Improving the Performance of Predictive
Process Modeling for Large Datasets"
Computational Statistics and Data Analysis, 53,28732884.
Sang, H. and Gelfand A.E. (2009),
"Hierarchical Modeling for Extreme Values Observed over Space and
Time",Environmental and Ecological Statistics,16, 407426.
Latimer, A.M., Banerjee, S., Sang, H., Mosher, E. and Silander, J.A. (2009), "Hierarchial Models for Spatial
Analysis of Large Data Sets: A Case Study on Invasive Plant Species in
the Northeastern United States",
Ecology Letters, 12, 144154.
Banerjee, S., Gelfand A.E., Finley,
A.O. and Sang, H. (2008), "Gaussian Predictive Process Models for Large
Spatial Data Sets",
Journal of the Royal Statistical Society, Series
B, 70, 825848. .
Sang, H., Gelfand, A.E. , Lennard, C., Hegerl, G. and
Hewitson, B. (2008), "Interpreting Self Organizing Maps Through Space
Time Data Models",Annals of Applied Statistics, 2, 11941216.