Nonparametric Bayesian functional selection in 1-M matched case-crossover studies.
Gao W, Kim I, Park ES.
Stat Methods Med Res. 2023 01. 32(1):133-150. PMID: 36267024
I'm a statistician passionate to solve real world applications with statistical models. Currently, I'm working on improving the accuracy of cancer detection at an early stage using cell-free DNA (cfDNA) sequencing data. My methodological research has been focusing on nonparametric Bayesian functional analyses, including functional variable selection and functional clustering. In particular, I work with Dirichlet process mixture models. My other research areas include high dimensional data analyses, statistical genetics and efficient Bayesian approaches.
B.Sc, 05/2013, Statistics; Double Major Finance
University of Hong Kong, Hong Kong, Hong Kong
Ph.D., 08/2020, Statistics
Virginia Tech, Blacksburg, VA
M.A., 12/2014, Statistics
Columbia University, New York, NY
Gao W, Kim I, Park ES.
Stat Methods Med Res. 2023 01. 32(1):133-150. PMID: 36267024
Wang Y, Gao S, Gao W.
Journal of Contingencies and Crisis Management. 2021. 30(4):427-439.
Li Z, Gao W, Li X.
J. Energy Resour. Technol. 2020. 142(12).
Kim I, Shan L, Lin J, Gao W, Kim B, Mahmoud H.
Wiley Interdisciplinary Reviews: Computational Statistics. 2020. 12(5):e1497.
Yu R, Cao J, Liu R, Gao W, Wang X, Liang J.
ACM Transactions on Sensor Networks. 2019. 15(2):1-25.
Liu R, Liang J, Gao W, Yu R.
Future Generation Computer Systems. 2018. 80(C):76–88.
Liu R, Liang J, Cao J, Zhang K, Gao W, Yang L, Liang J, Yu R.
IEEE Transactions on Services Computing. 2016. 12(2):304 - 318.
Liu R, Cao J, Zhang K, Gao W, Liang J, Yang L.
IEEE Transactions on Services Computing. 2016. 11(5):864 - 878.
Liu R, Cao J, VanSyckel S, Gao W.
IEEE International Conference on Pervasive Computing and Communications (PerCom). 2016. 1-8.