Z. Geng

发表

Active Learning of Causal Networks with Intervention Experiments and Optimal Designs

Yangbo He, Z. Geng, 2008 .

Decomposition of search for v-structures in DAGs

Z. Geng, C. Wang, Qiang Zhao, 2005 .

Isotonic Regression for Umbrella Orderings

Z. Geng, N. Shi, 1990 .

Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder.

Z. Geng, E. T. Tchetgen Tchetgen, W. Miao, 2016, Biometrika.

Mixed Graphical Models with Missing Data and the Partial Imputation EM Algorithm

Zhi Geng, Z. Geng, K. Wan, 2000 .

CONFOUNDING, HOMOGENEITY AND COLLAPSIBILITY FOR CAUSAL EFFECTS IN EPIDEMIOLOGIC STUDIES

Z. Geng, W. Fung, Jianhua Guo, 2001 .

Sharp bounds on causal effects in case-control and cohort studies

Manabu Kuroki, Zhihong Cai, Z. Geng, 2010 .

Criteria for confounders in epidemiological studies

Z. Geng, W. Fung, Jianhua Guo, 2002 .

Conditions for Non‐confounding and Collapsibility without Knowledge of Completely Constructed Causal Diagrams

Z. Geng, Guangwei Li, 2002 .

Identifiability, stratification and minimum variance estimation of causal effects

Z. Geng, Xingwei Tong, Zhongguo Zheng, 2005, Statistics in medicine.

Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach

Z. Geng, Qiang Zhao, Changzhang Wang, 2014, Comput. Stat. Data Anal..

Discovering causes and effects of a given node in Bayesian networks

Z. Geng, Changzhang Wang, You Zhou, 2013 .

Association pattern discovery via theme dictionary models

Z. Geng, Ke Deng, Jun S. Liu, 2014 .

Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data

Zhi Geng, Wang Miao, Peng Ding, 2015, 1509.03860.

Statistical Inference for Truncated Dirichlet Distribution and Its Application in Misclassification

Z. Geng, G. Tian, K. Fang, 2000 .

Sufficient conditions for concluding surrogacy based on observed data

Z. Geng, Zhenguo Wu, Ping He, 2011, Statistics in medicine.

A novel path-specific effect statistic for identifying the differential specific paths in systems epidemiology

Z. Geng, F. Xue, Hongkai Li, 2020, BMC Genetics.

Structural learning of causal networks

Yangbo He, Z. Geng, Jinzhu Jia, 2017, Behaviormetrika.

Identification and Doubly Robust Estimation of Data Missing Not at Random With a Shadow Variable

Z. Geng, W. Miao, E. Tchetgen, 2015, 1509.02556.

Consecutive Collapsibility of Odds Ratios over an Ordinal Background Variable

Zhi Geng, Jianhua Guo, Z. Geng, 2001 .

Identification of causal effects with latent confounding and classical additive errors in treatment

Z. Geng, Zhichao Jiang, Xiao‐Hua Zhou, 2018, Biometrical journal. Biometrische Zeitschrift.

On the individual surrogate paradox.

Z. Geng, Linquan Ma, Lan Liu, 2017, Biostatistics.

Novel criteria to exclude the surrogate paradox and their optimalities

Z. Geng, Lan Liu, Yunjian Yin, 2016, Scandinavian Journal of Statistics.

Qualitative Evaluation of Associations by the Transitivity of the Association Signs

Z. Geng, P. Ding, Zhichao Jiang, 2014, 1405.4258.

Causal Mediation Analysis with Multiple Treatments and Latent Confounders

Z. Geng, Wei Li, Chunchen Liu, 2020, 2001.04040.

RECURSIVE PROCEDURES FOR HIERARCHICAL LOGLINEAR MODELS ON HIGH-DIMENSIONAL CONTINGENCY TABLES

Zhi Geng, Chooichiro Asano, Z. Geng, 1988 .

A causal data fusion method for the general exposure and outcome

Z. Geng, Jinzhu Jia, F. Xue, 2021, Statistics in medicine.

Causal data fusion methods using summary‐level statistics for a continuous outcome

Fuzhong Xue, Zhi Geng, Zheng Cai, 2020, Statistics in medicine.

LEARNING LOCAL DIRECTED ACYCLIC GRAPHS BASED ON MULTIVARIATE TIME SERIES DATA.

Hongzhe Li, Wanlu Deng, Zhi Geng, 2013, The annals of applied statistics.

Acceleration of the EM algorithm using the vector epsilon algorithm

Masahiro Kuroda, Zhi Geng, Mingfeng Wang, 2008, Comput. Stat..

Causal Inference

Z. Geng, P. Ding, Zhichao Jiang, 2020, Engineering.

Collapsibility for Directed Acyclic Graphs

Zhi Geng, Xianchao Xie, Z. Geng, 2009 .

Criteria for surrogate end points

Zhi Geng, Jinzhu Jia, Z. Geng, 2007 .

Collapsibility of distribution dependence

Z. Geng, Zongming Ma, X. Xie, 2006 .

Title Confounding , homogeneity and collapsibility for causal effectsin epidemiologic studies

Z. Geng, W. Fung, Jianhua Guo, 2003 .

On collapsibilities of Yule’s measure

Z. Geng, N. Shi, Jianhua Guo, 2001 .

Strong collapsibility of association measures in linear models

Z. Geng, Chooichiro Asano, 1993 .

Collapsibility of Relative Risk in Contingency Tables with a Response Variable

Zhi Geng, Z. Geng, 1992 .

IDENTIFICATION OF NONRESPONSE MECHANISMS FOR TWO-WAY CONTINGENCY TABLES

Zhi Geng, Wen-Qing Ma, Xiao-Tong Li, 2003 .

On Delay Tomography: Fast Algorithms and Spatially Dependent Models

Yang Li, Zhi Geng, Ke Deng, 2012, IEEE Transactions on Signal Processing.

Factorization of posteriors and partial imputation algorithm for graphical models with missing data

Z. Geng, Kaican Li, 2003 .

Identifiability and Estimation of Causal Effects in Randomized Trials with Noncompliance and Completely Nonignorable Missing Data

Zhi Geng, Xiao-Hua Zhou, Z. Geng, 2009, Biometrics.

Structural Learning of Graphical Models and Its Applications to Traditional Chinese Medicine

Z. Geng, Shan Gao, Ke Deng, 2005, FSKD.

COMPARISON BETWEEN ESTIMATES OF THE POTENTIAL PROPORTION WITH AND WITHOUT STANDARDIZATION FOR A NON-CONFOUNDER

Z. Geng, Qiang Zhao, Xueli Wang, 2007 .

Identification, Doubly Robust Estimation, and Semiparametric Efficiency Theory of Nonignorable Missing Data With a Shadow Variable

Eric J. Tchetgen Tchetgen, Zhi Geng, Wang Miao, 2015 .

Identification and Doubly Robust Estimation of Data Missing Not at Random with an Ancillary Variable

Eric J. Tchetgen Tchetgen, Zhi Geng, Wang Miao, 2015 .

Discover Local Causal Network around a Target to a Given Depth

Zhi Geng, Jianxin Yin, You Zhou, 2008, NIPS Causality: Objectives and Assessment.

Partial orientation and local structural learning of causal networks for prediction

Ping He, Cheng Zheng, Zhi Geng, 2008, WCCI Causation and Prediction Challenge.

Identification of Linear Non-Gaussian Latent Hierarchical Structure

Yangbo He, Z. Geng, Biwei Huang, 2022, ICML.

A Local Method for Identifying Causal Relations under Markov Equivalence

Yangbo He, Z. Geng, Yue Liu, 2021, Artif. Intell..

Local Causal Network Learning for Finding Pairs of Total and Direct Effects

Zhi Geng, Zhuangyan Fang, Yangbo He, 2020, J. Mach. Learn. Res..

Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects

Yue Liu, Zhi Geng, Zhuangyan Fang, 2020, UAI.

A Recursive Method for Structural Learning of Directed Acyclic Graphs

Zhi Geng, Xianchao Xie, Z. Geng, 2008, J. Mach. Learn. Res..

Decomposition of structural learning about directed acyclic graphs

Qiang Zhao, Zhi Geng, Xianchao Xie, 2006, Artif. Intell..

A novel path-specific effect statistic for identifying the differential specific paths in systems epidemiology

Z. Geng, F. Xue, Hongkai Li, 2020, BMC Genetics.

Principal causal effect identification and surrogate end point evaluation by multiple trials

Zhi Geng, Zhichao Jiang, Peng Ding, 2015, 1507.05935.

Identifiability and Estimation of Causal Effects by Principal Stratification With Outcomes Truncated by Death

Zhi Geng, Xiao-Hua Zhou, Peng Ding, 2011 .

Causal mediation analysis with sure outcomes of random events model

Z. Geng, Xiao‐Hua Zhou, Wei Li, 2021, Statistics in medicine.

Identification of Causal Mediation Models with an Unobserved Pre-treatment Confounder

Z. Geng, Xiaohua Douglas Zhang, Zhenguo Wu, 2016 .

Bounds on Direct and Indirect Effects of Treatment on a Continuous Endpoint

Zhi Geng, Peng Luo, Z. Geng, 2015, ACM Trans. Intell. Syst. Technol..

A new non‐randomized model for analysing sensitive questions with binary outcomes

Zhi Geng, Man-Lai Tang, Jun-Wu Yu, 2007, Statistics in medicine.

Criteria for Multiple Surrogates

Peng Luo, Zhi Geng, Zheng Cai, 2019, Statistica Sinica.

Improving the vector $$\varepsilon $$ε acceleration for the EM algorithm using a re-starting procedure

Masahiro Kuroda, Zhi Geng, Michio Sakakihara, 2015, Comput. Stat..

MCMC using Markov bases for computing $$p$$-values in decomposable log-linear models

Z. Geng, Hiroki Hashiguchi, M. Kuroda, 2013, Comput. Stat..

Assessing the Treatment Effect Heterogeneity with a Latent Variable

Zhi Geng, Yunjian Yin, Lan Liu, 2016, 1603.02712.

Nonparametric Covariance Model

Hansheng Wang, Runze Li, Zhi Geng, 2008, Statistica Sinica.

Refining network reconstruction based on functional reliability.

Zhi Geng, Yunjun Zhang, Qi Ouyang, 2014, Journal of theoretical biology.

Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders

Zhi Geng, Peng Luo, Z. Geng, 2016, Comput. Stat. Data Anal..

Causal Network Learning from Multiple Interventions of Unknown Manipulated Targets pdf

Zhi Geng, Yango He, Z. Geng, 2016, ArXiv.

Learning Causal Structures Based on Markov Equivalence Class

Yang Bo He, Zhi Geng, Xun Liang, 2005, ALT.

An Approach to Mining Local Causal Relationships from Databases

Yang Bo He, Zhi Geng, Xun Liang, 2005, ADMA.

NON-PARAMETRIC STATISTICS

Z. Geng, Qiang Zhao, Xizhi Wu, 2017 .

Bayesian computation for contingency tables with incomplete cell-counts

Guo-Liang Tian, Z. Geng, G. Tian, 2003 .

A project of applied statistical methods in China: review and outlook

Zhi Geng, Ning-Zhong Shi, Jian Tao, 2008 .

Identifiability of Causal Effects for Binary Variables with Baseline Data Missing Due to Death

Z. Geng, Wei Yan, Yaqin Hu, 2012, Biometrics.

Topological origin of global attractors in gene regulatory networks

Yunjun Zhang, Qi Ouyang, Zhi Geng, 2015 .

INFERENCE PROCEDURES FOR THE SYMMETRY IN A CONTINGENCY TABLE

Z. Geng, 1988 .

Decomposability and collapsibility for log-linear models

Zhi Geng, Z. Geng, 1989 .

Collapsibility of logistic regression coefficients

Zhi Geng, Jianhua Guo, Z. Geng, 1995 .

The Noncentral Wishart Distribution and Related Distributions

Zhi Geng, Z. Geng, Kaican Li, 2003 .

Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models

Yangbo He, Z. Geng, Kun Zhang, 2022, Entropy.

Using Auxiliary Data for Binomial Parameter Estimation with Nonignorable Nonresponse

Z. Geng, Xueli Wang, Xiaohua Zhou, 2012 .

Hidden Markov Models with Multiple Observers

Hua Chen, Zhi Geng, Jinzhu Jia, 2009, ICIC.

Structural Learning of Chain Graphs via Decomposition.

Zhi Geng, Zongming Ma, Xianchao Xie, 2008, Journal of machine learning research : JMLR.

Criteria for surrogate end points based on causal distributions

Zhi Geng, Z. Geng, Chuan Ju, 2010 .