Jianhua Guo

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Joint Community Detection in Random Effects Stochastic Block Models via the Split-Likelihood Method.
J. Comput. Graph. Stat.
Jiangzhou Wang, Meier Wu, Yang Liu, Binghui Liu, Jianhua Guo
2025 J jnl
Understanding asymptotic consistency and its unique advantages in large sample statistical inference.
J. Multivar. Anal.
Jiangzhou Wang, Binghui Liu, Bing-Yi Jing, Jianhua Guo
2022 J jnl
Interaction Identification and Clique Screening for Classification with Ultra-high Dimensional Discrete Features.
J. Classif.
Baiguo An, Guozhong Feng, Jianhua Guo
2021 J jnl
Bayesian joint-quantile regression.
Comput. Stat.
Yingying Hu, Huixia Judy Wang, Xuming He, Jianhua Guo
2017 J jnl
Building trust networks in the absence of trust relations.
Frontiers Inf. Technol. Electron. Eng.
Xin Wang, Ying Wang, Jianhua Guo
2017 J jnl
On the identifiability and estimation of generalized linear models with parametric nonignorable missing data mechanism.
Comput. Stat. Data Anal.
Xia Cui, Jianhua Guo, Guangren Yang
2016 J jnl
Sharp Bounds on Survivor Average Causal Effects When the Outcome Is Binary and Truncated by Death.
ACM Trans. Intell. Syst. Technol.
Na Shan, Xiaogang Dong, Ping-Feng Xu, Jianhua Guo
2015 J jnl
Feature subset selection using naive Bayes for text classification.
Pattern Recognit. Lett.
Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Tieli Sun
2013 J jnl
Large-scale multiple testing in genome-wide association studies via region-specific hidden Markov models.
BMC Bioinform.
Jian Xiao, Wensheng Zhu, Jianhua Guo
2013 J jnl
Multivariate regression shrinkage and selection by canonical correlation analysis.
Comput. Stat. Data Anal.
Baiguo An, Jianhua Guo, Hansheng Wang
2012 J jnl
A Bayesian feature selection paradigm for text classification.
Inf. Process. Manag.
Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Lizhu Hao
2012 J jnl
An improved Hara-Takamura procedure by sharing computations on junction tree in Gaussian graphical models.
Stat. Comput.
Ping-Feng Xu, Jianhua Guo, Man-Lai Tang
2011 J jnl
Structural learning for Bayesian networks by testing complete separators in prime blocks.
Comput. Stat. Data Anal.
Ping-Feng Xu, Jianhua Guo, Man-Lai Tang
2010 J jnl
A note on minimal d-separation trees for structural learning.
Artif. Intell.
Binghui Liu, Jianhua Guo, Bing-Yi Jing
2008 J jnl
Testing the Equality of Two Proportions for Combined Unilateral and Bilateral Data.
Commun. Stat. Simul. Comput.
Yanbo Pei, Man-Lai Tang, Jianhua Guo
2004 J jnl
Testing for homogeneity of relative differences under inverse sampling.
Comput. Stat. Data Anal.
Jianhua Guo, Yanping Ma, Ning-Zhong Shi, Tai Shing Lau