A. Qu

发表

Improving generalised estimating equations using quadratic inference functions

B. Lindsay, A. Qu, Bing Li, 2000 .

Consistent Model Selection for Marginal Generalized Additive Model for Correlated Data

A. Qu, L. Xue, Jianhui Zhou, 2010 .

Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning

Annie Qu, Ruoqing Zhu, Wenzhuo Zhou, 2021, 2110.10719.

Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data

Runze Li, A. Qu, 2006, Biometrics.

Personalize treatment for longitudinal data using unspecified random-effects model

Annie Qu, Hyunkeun Cho, Peng Wang, 2017 .

Mixture Modeling for Longitudinal Data

A. Qu, Xiwei Tang, 2016 .

Sufficient dimension reduction for longitudinal data

A. Qu, Xuan Bi, 2015 .

Conditional Inference Functions for Mixed-Effects Models With Unspecified Random-Effects Distribution

Peng Wang, Annie Qu, A. Qu, 2012 .

Informative Estimation and Selection of Correlation Structure for Longitudinal Data

A. Qu, Jianhui Zhou, 2012 .

Testing for order‐restricted hypotheses in longitudinal data

Annie Qu, Catherine Loader, Ramani S. Pilla, 2006 .

Building adaptive estimating equations when inverse of covariance estimation is difficult

Bruce G. Lindsay, Annie Qu, B. Lindsay, 2003 .

Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates

A. Qu, L. Xue, Hua Liang, 2014, 1405.6030.

Robust Tests in Regression Models With Omnibus Alternatives and Bounded Influence

A. Qu, Lan Wang, 2007 .

Assessing robustness of generalised estimating equations and quadratic inference functions

A. Qu, P. X. Song, 2004 .

Automatic tagging with existing and novel tags

Xiaotong Shen, A. Qu, Junhui Wang, 2017 .

C ASE STUDY : Pattern of Parturition as Affected by Time of Feeding and Prediction of the Time of Day that Parturition Will Occur in Spring-Calving Beef Cows 1

A. Qu, T. DelCurto, J. Jaeger, 2008 .

Pattern of Parturition as Affected by Time of Feeding and Prediction of the Time of Day that Parturition Will Occur in Spring-Calving Beef Cows11Contribution no. 08-119-J, Agric. Exp. Stn., Manhattan, Kansas.

A. Qu, T. DelCurto, J. Jaeger, 2008 .

Semiparametric Estimating Equations Inference with Nonignorable Missing Data

Annie Qu, Puying Zhao, Nian-Sheng Tang, 2017 .

Cluster analysis of longitudinal profiles with subgroups

A. Qu, Xiaolu Zhu, 2018 .

A mixed-effects estimating equation approach to nonignorable missing longitudinal data with Refreshment samples

A. Qu, Xuan Bi, 2018 .

MODEL SELECTION FOR CORRELATED DATA WITH DIVERGING NUMBER OF PARAMETERS

Annie Qu, Hyunkeun Cho, A. Qu, 2013 .

Consistent model selection and data‐driven smooth tests for longitudinal data in the estimating equations approach

Annie Qu, Lan Wang, A. Qu, 2009 .

Summary. Model selection for marginal regression analysis of longitudinal data is challenging owing to the presence of correlation and the difficulty of specifying the full likelihood, particularly

A. Qu, Lan Wang, 2009 .

Semi-standard partial covariance variable selection when irrepresentable conditions fail

A. Qu, F. Xue, 2017, 1709.04840.

Subgroup analysis based on structured mixed-effects models for longitudinal data

A. Qu, Juan Shen, 2020, Journal of biopharmaceutical statistics.

Nonparametric Cluster Analysis on Multiple Outcomes of Longitudinal Data

A. Qu, Zhongyi Zhu, Xiaolu Zhu, 2020 .

A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample

A. Qu, S. Ahmed, Fang Fang, 2020, Biometrics.

Variable Selection for Highly Correlated Predictors

A. Qu, F. Xue, 2017 .

Weak signal identification and inference in penalized model selection

A. Qu, Peibei Shi, 2016, 1611.04638.

Laboratory measures of hemostasis and fibrinolysis after intravenous administration of epsilon-aminocaproic acid in clinically normal horses and ponies.

A. Qu, S. Tornquist, C. Cebra, 2005, American journal of veterinary research.

Evaluation of the USDA National Clonal Pyrus Germplasm Collection for Resistance to Podosphaera leucotricha

A. Qu, M. Serdani, R. Spotts, 2006 .

Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning

A. Qu, Wenzhuo Zhou, R. Zhu, 2021, Journal of the American Statistical Association.

Weak signal identification and inference in penalized model selection

A. Qu, Peibei Shi, 2016, 1611.04638.

Integrating Multisource Block-Wise Missing Data in Model Selection

Fei Xue, Annie Qu, A. Qu, 2019, Journal of the American Statistical Association.

Deep learning from a statistical perspective

Yujia Deng, Yanqing Zhang, Annie Qu, 2020, Stat.

Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions

Annie Qu, Guei-Feng Tsai, A. Qu, 2008, Comput. Stat. Data Anal..

At-harvest prediction of grey mould risk in pear fruit in long-term cold storage

A. Qu, D. Sugar, M. Serdani, 2009 .

Tensors in Statistics

Annie Qu, Xiwei Tang, Yanqing Zhang, 2021 .

Imputed Factor Regression for High-dimensional Block-wise Missing Data

Nian-Sheng Tang, Annie Qu, Yan-Qing Zhang, 2020 .

A Group-Specific Recommender System

Junhui Wang, Xuan Bi, Xiaotong Shen, 2017 .

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data

Fei Xue, Haoda Fu, Yanqing Zhang, 2020, Journal of the American Statistical Association.

Long-term continuous cropping in the Pacific Northwest: Tillage and fertilizer effects on winter wheat, spring wheat, and spring barley production

A. Qu, S. Machado, S. Petrie, 2007 .

Correlation Tensor Decomposition and Its Application in Spatial Imaging Data

A. Qu, Xiwei Tang, Yujia Deng, 2021, Journal of the American Statistical Association.

Partially Functional Linear Quantile Regression With Measurement Errors

Carmen D. Tekwe, A. Qu, L. Xue, 2022, Statistica Sinica.

Dermoscopic Image Classification with Neural Style Transfer pdf

Annie Qu, Ruoqing Zhu, Jack Yutong Li, 2021, J. Comput. Graph. Stat..

Individualized Multilayer Tensor Learning With an Application in Imaging Analysis

Xuan Bi, Annie Qu, Xiwei Tang, 2019, Journal of the American Statistical Association.

Quadratic inference functions in marginal models for longitudinal data

Peter X-K Song, Annie Qu, Eunjoo Park, 2009, Statistics in medicine.

Inference Functions and Quadratic Score Tests

Bruce G. Lindsay, Annie Qu, B. Lindsay, 2003 .

Multilayer tensor factorization with applications to recommender systems

Xuan Bi, Xiaotong Shen, Annie Qu, 2017, The Annals of Statistics.

Neural-based time series forecasting of loss of coolant accidents in nuclear power plants

Tomasz Kozlowski, Majdi I. Radaideh, Connor Pigg, 2020, Expert Syst. Appl..

Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness pdf

Gediminas Adomavicius, Annie Qu, William Li, 2020, INFORMS J. Comput..

Penalized Generalized Estimating Equations for High‐Dimensional Longitudinal Data Analysis

Annie Qu, Lan Wang, Jianhui Zhou, 2012, Biometrics.

Testing ignorable missingness in estimating equation approaches for longitudinal data

Annie Qu, Peter X.-K. Song, A. Qu, 2002 .

MAXIMUM LIKELIHOOD INFERENCE IN ROBUST LINEAR MIXED-EFFECTS MODELS USING MULTIVARIATE t DISTRIBUTIONS

Annie Qu, Peter X.-K. Song, A. Qu, 2007 .

Community detection with dependent connectivity

Annie Qu, Yubai Yuan, A. Qu, 2018, The Annals of Statistics.

De-confounding causal inference using latent multiple-mediator pathways

A. Qu, Yubai Yuan, 2023, Journal of the American Statistical Association.

Individualized Multidirectional Variable Selection

Xiwei Tang, Annie Qu, A. Qu, 2017, Journal of the American Statistical Association.

Feasibility and validity of a statistical adjustment to reduce self-report bias of height and weight in wave 1 of the Add Health study

A. Qu, Xuan Bi, J. Liechty, 2016, BMC Medical Research Methodology.

Efficient Estimation for Patient‐Specific Rates of Disease Progression Using Nonnormal Linear Mixed Models

Annie Qu, Tom Greene, A. Qu, 2008, Biometrics.

Weak signal identification and inference in penalized likelihood models for categorical responses

A. Qu, Zhongyi Zhu, Peibei Shi, 2021, 2108.07940.

Query-Augmented Active Metric Learning pdf

Annie Qu, Yujia Deng, Haoda Fu, 2021, Journal of the American Statistical Association.

Scalable Collaborative Ranking for Personalized Prediction

Junhui Wang, Xiaotong Shen, Annie Qu, 2020, Journal of the American Statistical Association.

Smooth neighborhood recommender systems

Junhui Wang, Xiaotong Shen, Annie Qu, 2019, J. Mach. Learn. Res..

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Yiwen Sun, Xiaotong Shen, Annie Qu, 2016 .

Optimal Individualized Treatment Rule for Combination Treatments Under Budget Constraints

A. Qu, Qianxiong Xu, Haida Fu, 2023, 2303.11507.

Longitudinal Principal Component Analysis With an Application to Marketing Data

Zhen Zuo, Xiwei Tang, Annie Qu, 2020, Journal of Computational and Graphical Statistics.

Semi-Orthogonal Non-Negative Matrix Factorization pdf

Annie Qu, Ruoqing Zhu, Jack Yutong Li, 2018, ArXiv.

Semi-orthogonal Non-negative Matrix Factorization with an Application in Text Mining

Ruoqing Zhu, Annie Qu, Jack Yutong Li, 2018 .

Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization

Ruoqing Zhu, Yutong Li, Annie Qu, 2020, Journal of the American Statistical Association.

Estimating and Identifying Unspecified Correlation Structure for Longitudinal Data

Peng Wang, Jianhua Hu, Annie Qu, 2015, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Time‐varying feature selection for longitudinal analysis

Lan Xue, Peibei Shi, Annie Qu, 2019, Statistics in medicine.

Nonparametric Cluster Analysis on Multiple Outcomes of Longitudinal Data

A. Qu, Zhongyi Zhu, Xiaolu Zhu, 2020, Statistica Sinica.

Word segmentation in Chinese language processing

Junhui Wang, Xiaotong Shen, Annie Qu, 2017 .

Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality

Lan Xue, Annie Qu, A. Qu, 2012, J. Mach. Learn. Res..

Time-varying correlation structure estimation and local-feature detection for spatio-temporal data

Xueying Zheng, Lan Xue, Annie Qu, 2018, J. Multivar. Anal..

Optimal Individualized Treatment Rule for Combination Treatments Under Budget Constraints

A. Qu, Qianxiong Xu, Haida Fu, 2023, 2303.11507.

Dynamic Tensor Recommender System

Annie Qu, Yanqing Zhang, Nian-Sheng Tang, 2019, Proceedings of the International Conference on Statistics: Theory and Applications.

Model diagnostic tests for selecting informative correlation structure in correlated data

B. Lindsay, A. Qu, J. Lee, 2008 .

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Xiaotong Shen, A. Qu, Junhui Wang, 2016 .