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Suojin Wang
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2020 – today
- 2024
- [j13]Peng Su, Garth Tarr, Samuel Müller, Suojin Wang:
CR-Lasso: Robust cellwise regularized sparse regression. Comput. Stat. Data Anal. 197: 107971 (2024) - 2021
- [j12]Lijie Gu, Suojin Wang, Lijian Yang:
Smooth simultaneous confidence band for the error distribution function in nonparametric regression. Comput. Stat. Data Anal. 155: 107106 (2021) - [j11]Mohammed M. Gharaibeh, Mohammad Sahtout, Haiyan Wang, Suojin Wang:
A Nonparametric Lack-of-Fit Test of Constant Regression in the Presence of Heteroscedastic Variances. Symmetry 13(7): 1264 (2021)
2010 – 2019
- 2018
- [c4]Abdulhakim Ali Qahtan, Suojin Wang, Xiangliang Zhang:
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams (Extended Abstract). ICDE 2018: 1759-1760 - 2017
- [j10]Lianfen Qian, Suojin Wang:
Subject-wise empirical likelihood inference in partial linear models for longitudinal data. Comput. Stat. Data Anal. 111: 77-87 (2017) - [j9]Abdulhakim Ali Qahtan, Suojin Wang, Xiangliang Zhang:
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams. IEEE Trans. Knowl. Data Eng. 29(3): 642-655 (2017) - 2015
- [j8]Ming Fan, Hiroyuki Kuwahara, Xiaolei Wang, Suojin Wang, Xin Gao:
Parameter estimation methods for gene circuit modeling from time-series mRNA data: a comparative study. Briefings Bioinform. 16(6): 987-999 (2015) - [c3]Abdulhakim Ali Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang:
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams. KDD 2015: 935-944 - 2014
- [j7]Li Wang, Suojin Wang, Guannan Wang:
Variable selection and estimation for longitudinal survey data. J. Multivar. Anal. 130: 409-424 (2014) - [c2]Abdulhakim Ali Qahtan, Suojin Wang, Raymond J. Carroll, Xiangliang Zhang:
A New Study of Two Divergence Metrics for Change Detection in Data Streams. ECAI 2014: 1081-1082 - 2013
- [j6]Hiroyuki Kuwahara, Ming Fan, Suojin Wang, Xin Gao:
A framework for scalable parameter estimation of gene circuit models using structural information. Bioinform. 29(13): 98-107 (2013) - 2012
- [c1]Abdulhakim Ali Qahtan, Xiangliang Zhang, Suojin Wang:
Efficient estimation of dynamic density functions with an application to outlier detection. CIKM 2012: 2159-2163 - 2011
- [j5]Li Wang, Suojin Wang:
Nonparametric additive model-assisted estimation for survey data. J. Multivar. Anal. 102(7): 1126-1140 (2011)
2000 – 2009
- 2008
- [j4]Myung Suk Kim, Suojin Wang:
Consistent estimation in regression models for the drift function in some continuous time models. Comput. Stat. Data Anal. 52(5): 2682-2691 (2008) - 2006
- [j3]Myung Suk Kim, Suojin Wang:
Sizes of two bootstrap-based nonparametric specification tests for the drift function in continuous time models. Comput. Stat. Data Anal. 50(7): 1793-1806 (2006) - [j2]Myung Suk Kim, Suojin Wang:
On the applicability of stochastic volatility models. Comput. Stat. Data Anal. 51(4): 2210-2217 (2006) - 2005
- [j1]Wenjiang J. Fu, Raymond J. Carroll, Suojin Wang:
Estimating misclassification error with small samples via bootstrap cross-validation. Bioinform. 21(9): 1979-1986 (2005)
Coauthor Index
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