Annie Qu
50 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-8396-7828
Department of Statistics and Applied Probability, University of California , Santa Barbara, CA , USA
Publications
- A Model-Agnostic Graph Neural Network for Integrating Local and Global Information — Journal of the American Statistical Association 2025
- Optimal Transport based Cross-Domain Integration for Heterogeneous Data — Journal of the American Statistical Association 2025
- Reinforcement learning for individual optimal policy from heterogeneous data — The Annals of Statistics 2025
- Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models — Journal of the American Statistical Association 2025
- Time-varying mediation analysis for incomplete data with application to DNA methylation study for PTSD — The Annals of Applied Statistics 2025 (name-matched, not ORCID-linked)
- Individualized dynamic latent factor model for multi-resolutional data with application to mobile health — Biometrika 2024
- De-confounding Causal Inference Using Latent Multiple-Mediator Pathways — Journal of the American Statistical Association 2024
- Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning — Journal of the American Statistical Association 2024
- Differentially Private Data Release for Mixed-type Data via Latent Factor Models — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- Stage-Aware Learning for Dynamic Treatments — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- Optimal individualized treatment rule for combination treatments under budget constraints — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia — The Annals of Applied Statistics 2024
- Dynamic topic language model on heterogeneous children’s mental health clinical notes — The Annals of Applied Statistics 2024
- Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling — Journal of the American Statistical Association 2024
- Correlation Tensor Decomposition and Its Application in Spatial Imaging Data — Journal of the American Statistical Association 2023
- High-Order Joint Embedding for Multi-Level Link Prediction — Journal of the American Statistical Association 2023
- Query-Augmented Active Metric Learning — Journal of the American Statistical Association 2023
- Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data — Journal of the American Statistical Association 2022
- Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort — Journal of the American Statistical Association 2022
- Integrating Multisource Block-Wise Missing Data in Model Selection — Journal of the American Statistical Association 2021
- Scalable Collaborative Ranking for Personalized Prediction — Journal of the American Statistical Association 2021
- Dynamic Tensor Recommender Systems — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization — Journal of the American Statistical Association 2021
- Community detection with dependent connectivity — The Annals of Statistics 2021
- Individualized Multidirectional Variable Selection — Journal of the American Statistical Association 2021
- Individualized Multilayer Tensor Learning With an Application in Imaging Analysis — Journal of the American Statistical Association 2020
- Smooth neighborhood recommender systems — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
- A Group-Specific Recommender System — Journal of the American Statistical Association 2017
- Automatic tagging with existing and novel tags — Biometrika 2017
- Weak signal identification and inference in penalized model selection — The Annals of Statistics 2017
- Classification With Unstructured Predictors and an Application to Sentiment Analysis — Journal of the American Statistical Association 2016
- Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates — The Annals of Statistics 2014
- Informative Estimation and Selection of Correlation Structure for Longitudinal Data — Journal of the American Statistical Association 2012
- Conditional Inference Functions for Mixed-Effects Models With Unspecified Random-Effects Distribution — Journal of the American Statistical Association 2012
- Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality — Journal of Machine Learning Research 2012 (name-matched, not ORCID-linked)
- Assessing the validity of weighted generalized estimating equations — Biometrika 2011
- Consistent Model Selection for Marginal Generalized Additive Model for Correlated Data — Journal of the American Statistical Association 2010
- Highly Efficient Aggregate Unbiased Estimating Functions Approach for Correlated Data With Missing at Random — Journal of the American Statistical Association 2010
- Consistent model selection and data-driven smooth tests for longitudinal data in the estimating equations approach — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
- Model diagnostic tests for selecting informative correlation structure in correlated data — Biometrika 2008
- Robust Tests in Regression Models With Omnibus Alternatives and Bounded Influence — Journal of the American Statistical Association 2007
- Testing for order-restricted hypotheses in longitudinal data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2006
- Assessing robustness of generalised estimating equations and quadratic inference functions — Biometrika 2004 (name-matched, not ORCID-linked)
- Building adaptive estimating equations when inverse of covariance estimation is difficult — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2003
- Testing ignorable missingness in estimating equation approaches for longitudinal data — Biometrika 2002 (name-matched, not ORCID-linked)
- Improving generalised estimating equations using quadratic inference functions — Biometrika 2000
- Meta Fusion: a unified framework for multimodal fusion with adaptive mutual learning — Journal of the Royal Statistical Society: Series B (Statistical Methodology) (name-matched, not ORCID-linked)
- Individualized Dynamic Mediation Analysis Using Latent Factor Models — Journal of the American Statistical Association
- Representation Retrieval Learning for Heterogeneous Data Integration — Journal of the American Statistical Association
- Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior — Journal of the American Statistical Association