Ganggang Xu

Asst. Professor

Phone:
(305) 284-1974
Locator Code:
6544

 
Career

Education

2011Ph.D. Statistics, Texas A&M University, College Station
2006B.S. Statistics, Zhejiang University, China

Professional Experience

2018 - Assistant Professor, Department of Management Science, University of Miami
2014 - 2018Assistant Professor, Department of Mathematical Sciences, Binghamton University, State University of New York
2012 - 2014Postdoctoral Research Fellow, Institute for Applied Mathematics and Computational Science (IAMCS), Texas A&M University, College Station
Research

Publications

Xu, G., Zhang, J., Li, Y., and Guan, Y. (2022) “Bias-correction and Test for Mark-point Dependence with Replicated Marked Point Processes.” Journal of the American Statistical Association, Theory & Method, accepted.


Xu, G., Liang, C., Waagepetersen, R., and Guan, Y. (2022) "Semi-parametric Goodness-of-fit Test for Clustered Point Processes with a Shape-constrained Pair Correlation Function." Journal of the American Statistical Association, Theory & Method, accepted.


Yin, L., Xu, G., Sang, H., and Guan, Y. (2021) "Row-clustering of a Point Process-valued Matrix." Advances in Neural Information Processing Systems (NeurIPS), 34.


Hessellund, K. B.*, Xu, G.*, Guan, Y., and Waagepetersen, R. (2021) "Semi-parametric Multinomial Logistic Regression for Multivariate Point Pattern Data." Journal of the American Statistical Association, Theory & Method, 1-16. (*: joint first authors with equal contributions.)


Xu, G., Wang, M., Bian, J., Burch, T. R., Andrade, S. C., Huang, H., Zhang, J., and Guan, Y. (2020) "Semi-parametric Learning of Structured Temporal Point Processes." Journal of Machine Learning Research, 21(192), 1-39.


Xu, G., Waagepetersen, R., and Guan, Y. (2019) "Stochastic Quasi-likelihood for Case-Control Point Pattern Data." Journal of the American Statistical Association, Theory & Method, 114, 631-644.


Xu, G., Shang, Z., and Cheng, G. (2018) "Optimal Tuning Parameter Selection for the Divide-and-conquer Kernel Ridge Regression with Massive Data." Proceedings of the 35th International Conference on Machine Learning (ICML, Oral), 80, 5483-5491.


Xu, G. and Genton, M. (2017) "Tukey's g-and-h Random Fields." Journal of the American Statistical Association, Theory & Method, 112, 1236-1249.


Xu, G. and Huang, J.Z. (2012) "Asymptotic Optimality and Efficient Computation of the Leave-subject-out Cross-validation." Annals of Statistics, 40, 3003-3030.


Xu, G. and Wang, S. (2011) "A Goodness-of-fit Test of Logistic Regression Based on Case-control Data with Measurement errors." Biometrika, 98, 877-886.