G. Yin

发表

Outlier detection for high-dimensional data

Kwang-Ho Ro, Changliang Zou, Zhaojun Wang, 2015 .

Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors

Yanyuan Ma, G. Yin, Yuanshan Wu, 2015 .

Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data

G. Yin, Ying Yuan, 2010, Biometrics.

Bayesian frailty models based on box-cox transformed hazards

Joseph G. Ibrahim, Guosheng Yin, J. Ibrahim, 2005 .

Cure rate models: A unified approach

Joseph G. Ibrahim, Guosheng Yin, J. Ibrahim, 2005 .

A class of Bayesian shared gamma frailty models with multivariate failure time data.

Joseph G Ibrahim, Guosheng Yin, J. Ibrahim, 2005, Biometrics.

Bayesian generalized method of moments

Guosheng Yin, G. Yin, 2009 .

Nonparametric maximum likelihood approach to multiple change-point problems

Changliang Zou, Zhaojun Wang, G. Yin, 2014, 1405.7173.

Worth Adapting? Revisiting the Usefulness of Outcome-Adaptive Randomization

G. Yin, J. Lee, Nan Chen, 2012, Clinical Cancer Research.

Semiparametric Transformation Models for Survival Data With a Cure Fraction

Joseph G. Ibrahim, Donglin Zeng, Guosheng Yin, 2006 .

Cure Rate Model With Mismeasured Covariates Under Transformation

Yanyuan Ma, Guosheng Yin, Yanyuan Ma, 2008 .

Bayesian Dose‐Finding in Phase I/II Clinical Trials Using Toxicity and Efficacy Odds Ratios

Yuan Ji, Guosheng Yin, Yisheng Li, 2006, Biometrics.

Bayesian dose finding in oncology for drug combinations by copula regression

Ying Yuan, Guosheng Yin, G. Yin, 2009 .

Two-stage dose finding for cytostatic agents in phase I oncology trials.

Guosheng Yin, Shurong Zheng, Jiajing Xu, 2013, Statistics in medicine.

Fundamentals of Clinical Trials

Guosheng Yin, G. Yin, 2012 .

Partially Linear Additive Hazards Regression With Varying Coefficients

Donglin Zeng, Guosheng Yin, Hui Li, 2008 .

Partitioned log-rank tests for the overall homogeneity of hazard rate functions

G. Yin, Yukun Liu, 2017, Lifetime data analysis.

A Latent Contingency Table Approach to Dose Finding for Combinations of Two Agents

Ying Yuan, Guosheng Yin, G. Yin, 2009, Biometrics.

Local likelihood with time‐varying additive hazards model

Hui Li, Yong Zhou, Guosheng Yin, 2007 .

Bayesian Two-Stage Design for Phase II Clinical Trials with Switching Hypothesis Tests

G. Yin, Haolun Shi, 2017 .

Self-Designing Trial Combined with Classical Group Sequential Monitoring

Guosheng Yin, Yu Shen, G. Yin, 2005, Journal of biopharmaceutical statistics.

A General Class of Bayesian Survival Models with Zero and Nonzero Cure Fractions

Joseph G Ibrahim, Guosheng Yin, J. Ibrahim, 2005, Biometrics.

Boosting conditional logit model

G. Yin, Haolun Shi, 2017 .

A general transformation class of semiparametric cure rate frailty models

G. Yin, G. Diao, 2012 .

Generalized Method of Moments for Additive Hazards Model with Clustered Dental Survival Data

G. Yin, Xiaogang Duan, Hui Li, 2016 .

Nonparametric maximum likelihood approach to multiple change-point problems

Changliang Zou, Zhaojun Wang, G. Yin, 2014, 1405.7173.

Bayesian cure rate model accommodating multiplicative and additive covariates

Guosheng Yin, Luis E. Nieto-Barajas, L. Nieto-Barajas, 2009 .

Title Bootstrap aggregating continual reassessment method for dosefinding in drug-combination trials

G. Yin, R. Lin, 2017 .

Fractional Dose-Finding Methods with Late-Onset Toxicity in Phase I Clinical Trials

Shu-rong Zheng, Jiajing Xu, G. Yin, 2013, Journal of biopharmaceutical statistics.

Title Bayesian Dose Finding for Combined Drugs with Discrete andContinuous Doses

G. Yin, Ying Yuan, Lin Huo, 2012 .

Bayesian Dose Finding for Combined Drugs with Discrete and Continuous Doses.

G. Yin, Ying Yuan, Lin Huo, 2012, Bayesian analysis.

Bayesian hybrid dose‐finding design in phase I oncology clinical trials

Ying Yuan, Guosheng Yin, G. Yin, 2011, Statistics in medicine.

Title Bayesian phase I / II adaptively randomized oncology trials withcombined drugs

G. Yin, Ying Yuan, 2011 .

Statistical Issues and Lessons Learned From COVID-19 Clinical Trials With Lopinavir-Ritonavir and Remdesivir

G. Yin, Huaqing Jin, Chenyang Zhang, 2020, JMIR public health and surveillance.

Sieve maximum likelihood estimation for a general class of accelerated hazards models with bundled parameters

G. Yin, Yuanshan Wu, Xingqiu Zhao, 2017 .

Dynamic portfolio selection without risk-free assets

Yuhong Xu, G. Yin, C. Lam, 2016, 1602.04975.

Submitted to the Annals of Statistics CHANGE-POINT DETECTION IN MULTINOMIAL DATA WITH A LARGE NUMBER OF CATEGORIES By

Changliang Zou, G. Yin, Guanghui Wang, 2017 .

Dose–Response Curve Estimation: A Semiparametric Mixture Approach

G. Yin, Ying Yuan, 2011, Biometrics.

Testing homogeneity of high-dimensional covariance matrices

Shu-rong Zheng, Jianhua Guo, G. Yin, 2019, Statistica Sinica.

Dynamic portfolio choice without cash

Yuhong Xu, G. Yin, C. Lam, 2018, Quantitative Finance.

Cure rate quantile regression accommodating both finite and infinite survival times

G. Yin, Yuanshan Wu, 2017 .

Phase I trial design for drug combinations with Bayesian model averaging

Ying Yuan, Guosheng Yin, Ick Hoon Jin, 2015, Pharmaceutical statistics.

An alternative approach for estimating the number needed to treat for survival endpoints

G. Yin, Zhao Yang, 2019, PloS one.

Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies

G. Yin, Zhao Yang, 2020, Contemporary clinical trials communications.

Restricted mean survival time for interval‐censored data

G. Yin, Yuanshan Wu, Chenyang Zhang, 2020, Statistics in medicine.

Multiethnic polygenic risk prediction in diverse populations through transfer learning

G. Yin, Yongfei Wang, Y. Zhang, 2022, bioRxiv.

Triangular Concordance Learning of Networks

G. Yin, Jiaqi Gu, 2022, Journal of Computational and Graphical Statistics.

C-index regression for recurrent event data.

G. Yin, Baihua He, Y. Zhang, 2022, Contemporary clinical trials.

Non‐parametric overdose control for dose finding in drug combination trials

G. Yin, R. Lin, C. Lam, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Using the Restricted Mean Survival Time Difference as an Alternative to the Hazard Ratio for Analyzing Clinical Cardiovascular Studies.

Lee-Jen Wei, G. Yin, Z. McCaw, 2019, Circulation.

Design of Noninferiority Trials for Hypofractionated vs Conventional Radiotherapy Among Patients With Cancer.

G. Yin, Z. McCaw, 2019, JAMA oncology.

Biostatistics pitfalls: Lessons learned from analysis of medical data.

G. Yin, Chenyang Zhang, Zhao Yang, 2019, Contemporary clinical trials.

Reanalysis of Data Comparing Prophylactic Cranial Irradiation vs Observation in Patients With Locally Advanced Non-Small Cell Lung Cancer.

G. Yin, Chenyang Zhang, 2019, JAMA oncology.

Glutathione-S-Transferase-Pi Expression in Early Breast Cancer: Association With Outcome and Response to Chemotherapy

G. Hortobagyi, G. Yin, A. Sahin, 2010, Cancer investigation.

Divide and conquer for accelerated failure time model with massive time‐to‐event data

G. Yin, Xingqiu Zhao, Jing Zhang, 2022, Canadian Journal of Statistics.

Demystify Lindley's Paradox by Interpreting P-value as Posterior Probability

G. Yin, Haolun Shi, 2020, 2002.10883.

Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors

Jian Huang, G. Yin, Yuanshan Wu, 2022, Lifetime Data Analysis.

Model aggregation for doubly divided data with large size and large dimension

G. Yin, Yuanshan Wu, Baihua He, 2022, Computational Statistics.

The GR2D2 Estimator for the Precision Matrices

G. Yin, Y. Zhang, Dailin Gan, 2022, bioRxiv.

Multiethnic polygenic risk prediction in diverse populations through transfer learning

G. Yin, Yongfei Wang, Y. Zhang, 2022, bioRxiv.

Uniformly most powerful Bayesian interval design for phase I dose‐finding trials

G. Yin, R. Lin, 2018, Pharmaceutical statistics.

Causal Effect of Functional Treatment

G. Yin, Zheng Zhang, Wei Huang, 2022, 2210.00242.

Censored cumulative residual independent screening for ultrahigh-dimensional survival data

G. Yin, Jing Zhang, Yuanshan Wu, 2017, Lifetime Data Analysis.

A general transformation class of semiparametric cure rate frailty models

G. Yin, G. Diao, 2012 .

Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm

G. Yin, Fanghu Dong, 2017, Statistics and Computing.

Partitioned log-rank tests for the overall homogeneity of hazard rate functions

G. Yin, Yukun Liu, 2016, Lifetime Data Analysis.

Web-based Supplementary Materials for “ Multiple Imputation for Cure Rate Quantile Regression With Censored Data ” by Yuanshan Wu and

G. Yin, 2016 .

Bayesian mixture models for complex high dimensional count data in phage display experiments

Yuan Ji, Kim-Anh Do, Kam-Wah Tsui, 2007 .

Unit information prior for incorporating real-world evidence into randomized controlled trials

G. Yin, Hengtao Zhang, 2023, Statistical methods in medical research.

Unit information prior for adaptive information borrowing from multiple historical datasets

Guosheng Yin, Huaqing Jin, G. Yin, 2021, Statistics in medicine.

Control of Type I Error Rates in Bayesian Sequential Designs

Haolun Shi, Guosheng Yin, G. Yin, 2019, Bayesian Analysis.

Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm

Guosheng Yin, Fanghu Dong, G. Yin, 2018, Stat. Comput..

Quantile Regression Models with Multivariate Failure Time Data

Jianwen Cai, Guosheng Yin, G. Yin, 2005, Biometrics.

Power computation for hypothesis testing with high-dimensional covariance matrices

Guosheng Yin, Shurong Zheng, Ruitao Lin, 2016, Comput. Stat. Data Anal..

Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences

Binhang Yuan, Guosheng Yin, Huaqing Jin, 2021, Technometrics.

Multiple change-points detection in high dimension

Zhaojun Wang, Yunlong Wang, Changliang Zou, 2019, Random Matrices: Theory and Applications.

Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions

Guosheng Yin, Francesca Dominici, Fei Jiang, 2019, ACM Trans. Knowl. Discov. Data.

Change-point detection in multinomial data with a large number of categories

Guanghui Wang, Changliang Zou, Guosheng Yin, 2018, The Annals of Statistics.

Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors

Fei Jiang, Guosheng Yin, Francesca Dominici, 2018, NeurIPS.

Reconstructing the Kaplan–Meier Estimator as an M-estimator

G. Yin, Jiaqi Gu, Yiwei Fan, 2021, The American Statistician.

Reconstruct Kaplan--Meier Estimator as M-estimator and Its Confidence Band

G. Yin, Jiaqi Gu, Yiwei Fan, 2020, 2011.10240.

Bayesian Model Averaging Continual Reassessment Method in Phase I Clinical Trials

Ying Yuan, Guosheng Yin, G. Yin, 2009 .

On the usefulness of outcome-adaptive randomization.

Ying Yuan, Guosheng Yin, G. Yin, 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Fast Algorithm for Generalized Multinomial Models with Ranking Data

Jiaqi Gu, Guosheng Yin, G. Yin, 2019, ICML.

Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models

Chenyang Zhang, Guosheng Yin, G. Yin, 2019, ICML.

Bayesian optimal interval design for dose finding in drug-combination trials

Guosheng Yin, Ruitao Lin, G. Yin, 2017, Statistical methods in medical research.

STEIN: A simple toxicity and efficacy interval design for seamless phase I/II clinical trials

Guosheng Yin, Ruitao Lin, G. Yin, 2017, Statistics in medicine.

Bayesian two‐stage dose finding for cytostatic agents via model adaptation

Frank Bretz, Guosheng Yin, David Ohlssen, 2016 .

Functional Censored Quantile Regression

Haipeng Shen, G. Yin, F. Jiang, 2019, Journal of the American Statistical Association.

Bayesian Semiparametric Cure Rate Model with an Unknown Threshold

Guosheng Yin, Luis E. Nieto-Barajas, L. Nieto-Barajas, 2008 .

Model checking for additive hazards model with multivariate survival data

Guosheng Yin, G. Yin, 2007 .

Inference for a Class of Transformed Hazards Models

Joseph G. Ibrahim, Donglin Zeng, Guosheng Yin, 2005 .

Nonparametric overdose control with late-onset toxicity in phase I clinical trials.

Guosheng Yin, Ruitao Lin, G. Yin, 2017, Biostatistics.

BAYESIAN DATA AUGMENTATION DOSE FINDING WITH CONTINUAL REASSESSMENT METHOD AND DELAYED TOXICITY.

Ying Yuan, Suyu Liu, Guosheng Yin, 2013, The annals of applied statistics.

Escalation with overdose control for phase I drug‐combination trials

Guosheng Yin, G. Yin, Yun Shi, 2013, Statistics in medicine.

BAYESIAN PHASE I/II ADAPTIVELY RANDOMIZED ONCOLOGY TRIALS WITH COMBINED DRUGS.

Ying Yuan, Guosheng Yin, G. Yin, 2011, The annals of applied statistics.

Bayesian dose finding by jointly modelling toxicity and efficacy as time‐to‐event outcomes

Ying Yuan, Guosheng Yin, G. Yin, 2009 .

Title Testing overall and subpopulation treatment effects withmeasurement errors

G. Yin, 2013 .

CENSORED QUANTILE REGRESSION WITH COVARIATE MEASUREMENT ERRORS

Yanyuan Ma, Guosheng Yin, Yanyuan Ma, 2011 .

Landmark cure rate models with time-dependent covariates

Haolun Shi, Guosheng Yin, G. Yin, 2017, Statistical methods in medical research.

Two Simulation Methods for Constructing Confidence Bands Under the Additive Risk Model

Guosheng Yin, Jianhua Hu, G. Yin, 2004, Journal of biopharmaceutical statistics.

Bayesian adaptive model selection design for optimal biological dose finding in phase I/II clinical trials.

G. Yin, Haolun Shi, R. Lin, 2021, Biostatistics.

Concordance index: Surrogacy of progression-free survival for overall survival.

G. Yin, Yiwei Fan, 2021, Contemporary clinical trials.

Marginal Analysis of Correlated Failure Time Data with Informative Cluster Sizes

Guosheng Yin, Yu Shen, G. Yin, 2007, Biometrics.

Generalized method of moments estimation for linear regression with clustered failure time data

G. Yin, Hui Li, 2009 .

2 Bayesian Generalized Method of Moments 2 . 1 Generalized Linear Model

G. Yin, 2009 .

Title Bayesian generalized method of moments

G. Yin, 2009 .

Bayesian transformation cure frailty models with multivariate failure time data

Guosheng Yin, G. Yin, 2008, Statistics in medicine.

Power-Transformed Linear Quantile Regression With Censored Data

Hui Li, Donglin Zeng, Guosheng Yin, 2008 .

Efficient Algorithm for Computing Maximum Likelihood Estimates in Linear Transformation Models

Donglin Zeng, Guosheng Yin, D. Zeng, 2006 .

Bayesian randomized clinical trials: From fixed to adaptive design.

Haolun Shi, Guosheng Yin, Chi Kin Lam, 2017, Contemporary clinical trials.

Response‐adaptive rerandomization

G. Yin, Hengtao Zhang, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Adaptive Design and Estimation in Randomized Clinical Trials with Correlated Observations

Guosheng Yin, Yu Shen, G. Yin, 2005, Biometrics.

Quantile Inference with Multivariate Failure Time Data

Jianwen Cai, Guosheng Yin, Jinheum Kim, 2003 .

Two‐stage adaptive randomization for delayed response in clinical trials

Guosheng Yin, Jiajing Xu, Jiajing Xu, 2014 .

Censored quantile regression with varying coefficients

Hui Li, Donglin Zeng, Guosheng Yin, 2014 .

Efficiency improvement in a class of survival models through model-free covariate incorporation

Tanya P Garcia, Yanyuan Ma, Guosheng Yin, 2011, Lifetime data analysis.

Semiparametric median residual life model and inference

Yanyuan Ma, Guosheng Yin, Yanyuan Ma, 2010 .

Comparison of transmissibility of coronavirus between symptomatic and asymptomatic patients: Reanalysis of the Ningbo COVID-19 data.

G. Yin, Huaqing Jin, 2020, JMIR public health and surveillance.

Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects

Donglin Zeng, Guosheng Yin, Danyu Lin, 2005 .

Generalized partially linear single‐index model for zero‐inflated count data

G. Yin, Jun Zhang, Xiaoguang Wang, 2015, Statistics in medicine.

Robust EM Continual Reassessment Method in Oncology Dose Finding

Ying Yuan, Guosheng Yin, G. Yin, 2011, Journal of the American Statistical Association.

Additive hazards model with multivariate failure time data

Jianwen Cai, Guosheng Yin, G. Yin, 2004 .

Subgroup Analysis in Censored Linear Regression

Xingqiu Zhao, Guosheng Yin, Xiaodong Yan, 2021 .

Clinical Trial Design: Bayesian and Frequentist Adaptive Methods

Guosheng Yin, G. Yin, 2011 .

Pooling Information Across Different Studies and Oligonucleotide Chip Types to Identify Prognostic Genes for Lung Cancer

Jeffrey S. Morris, K. Baggerly, G. Yin, 2005 .

Pooling Information Across Different Studies and Oligonucleotide Chip Types to Identify Prognostic Genes for Lung Cancer

Jeffrey S. Morris, Chunlei Wu, Guosheng Yin, 2005 .

Sample size re-estimation in adaptive enrichment design.

G. Yin, Ying Yuan, R. Lin, 2020, Contemporary clinical trials.

Bayesian nonparametric analysis of restricted mean survival time

G. Yin, Chenyang Zhang, 2022, Biometrics.

Reconnecting p-Value and Posterior Probability Under One- and Two-Sided Tests

G. Yin, Haolun Shi, Guosheng Yin, 2018, The American Statistician.

Adaptive iterative Hessian sketch via A-optimal subsampling

Hengtao Zhang, Aijun Zhang, Guosheng Yin, 2019, Statistics and Computing.

Phase II trial design with Bayesian adaptive randomization and predictive probability

Nan Chen, Guosheng Yin, J Jack Lee, 2012, Journal of the Royal Statistical Society. Series C, Applied statistics.

Reduction in number to treat versus number needed to treat

G. Yin, Chenyang Zhang, 2021, BMC Medical Research Methodology.

Bayesian two-step Lasso strategy for biomarker selection in personalized medicine development for time-to-event endpoints.

Guosheng Yin, J Jack Lee, Xuemin Gu, 2013, Contemporary clinical trials.

Bayesian Adaptive Randomization and Trial Monitoring with Predictive Probability for Time-to-Event Endpoint

Nan Chen, Guosheng Yin, J Jack Lee, 2018, Statistics in biosciences.

Bayesian Adaptive Randomization and Trial Monitoring with Predictive Probability for Time-to-Event Endpoint

G. Yin, Nan Chen, J. J. Lee, 2017, Statistics in Biosciences.

Bayesian phase II adaptive randomization by jointly modeling time-to-event efficacy and binary toxicity

Ying Yuan, Guosheng Yin, Xiudong Lei, 2011, Lifetime data analysis.

Sequential continual reassessment method for two‐dimensional dose finding

Ying Yuan, Guosheng Yin, G. Yin, 2008, Statistics in medicine.

Bayes factor and posterior probability: Complementary statistical evidence to p-value.

G. Yin, R. Lin, 2015, Contemporary clinical trials.

Bayesian SIR model with change points with application to the Omicron wave in Singapore

G. Yin, Jiaqi Gu, 2022, Scientific Reports.

Ensemble Approaches to Estimating the Population Mean with Missing Response

G. Yin, Xiaogang Duan, 2017 .

AVERAGE HOLDING PRICE

G. Yin, Yehong Liu, 2018 .

PCA Rerandomization

D. Rubin, G. Yin, Hengtao Zhang, 2021, Canadian Journal of Statistics.

Bayesian Knockoff Filter

G. Yin, Jiaqi Gu, 2021, 2102.05223.

Bayesian Knockoff Filter Using Gibbs Sampler

Guosheng Yin, Jiaqi Gu, G. Yin, 2021 .

Quasi-rerandomization for observational studies

G. Yin, Wen Su, Hengtao Zhang, 2023, BMC Medical Research Methodology.

Oncology Dose Finding Using Approximate Bayesian Computation Design

G. Yin, Huaqing Jin, Wenbin Du, 2022, 2203.00173.

Nonparametric inference for reversed mean models with panel count data

G. Yin, Li Liu, Xingqiu Zhao, 2022, Bernoulli.

Bootstrap aggregating continual reassessment method for dose finding in drug-combination trials

Guosheng Yin, Ruitao Lin, G. Yin, 2016 .

START: single‐to‐double arm transition design for phase II clinical trials

Teng Zhang, Haolun Shi, Guosheng Yin, 2020, Pharmaceutical statistics.

Two-stage seamless transition design from open-label single-arm to randomized double-arm clinical trials

Haolun Shi, Guosheng Yin, G. Yin, 2018, Statistical methods in medical research.

Censored cumulative residual independent screening for ultrahigh-dimensional survival data

Jing Zhang, Yanyan Liu, Guosheng Yin, 2018, Lifetime data analysis.

Conditional quantile screening in ultrahigh-dimensional heterogeneous data

Guosheng Yin, Yuanshan Wu, G. Yin, 2015 .

Bayesian Hierarchical Modeling and Biomarker Cutoff Identification in Basket Trials

Zhao Yang, Guosheng Yin, Motoi Odani, 2021 .

Title Bayesian Data Augmentation Dose Finding with ContinualReassessment Method and Delayed Toxicity

G. Yin, Ying Yuan, Suyu Liu, 2014 .

Principles and Reporting of Bayesian Trials.

G. Yin, J. Lee, 2020, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Partitioned log-rank tests for the overall homogeneity of hazard rate functions

G. Yin, Yukun Liu, 2016, Lifetime Data Analysis.

Worth Adapting? Revisiting the Usefulness of Outcome-Adaptive Randomization

G. Yin, Nan Chen, J. Jack Lee, 2012, Clinical Cancer Research.

Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects

D. Zeng, G. Yin, Danyu Lin, 2005 .

Sparse concordance‐based ordinal classification

G. Yin, Jiaqi Gu, Yiwei Fan, 2022, Scandinavian Journal of Statistics.

Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging

Xingqiu Zhao, Guosheng Yin, Baihua He, 2020, J. Mach. Learn. Res..

Title Pearson-type goodness-offit test with bootstrap maximumlikelihood estimation

G. Yin, 2013 .

Pearson-type goodness-of-fit test with bootstrap maximum likelihood estimation.

Yanyuan Ma, Guosheng Yin, Yanyuan Ma, 2013, Electronic journal of statistics.

3D-Polishing for Triangular Mesh Compression of Point Cloud Data

G. Yin, Jiaqi Gu, 2023, KDD.

QUANTILE REGRESSION WITH COVARIATE MEASUREMENT ERRORS

Yanyuan Ma, G. Yin, Yuanshan Wu, 2011 .

Cure Rate Quantile Regression for Censored Data With a Survival Fraction

Guosheng Yin, Yuanshan Wu, G. Yin, 2013 .