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Peiyong Qu

20002020
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Longitudinal Data Mathematics
Correlation Structure Mathematics
Model Selection Mathematics
Estimating Equation Mathematics
Correlated Data Mathematics
Generalized Estimating Equations Mathematics
Correlation Matrix Mathematics
Recommender Systems Mathematics

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Research Output 2000 2020

A Logistic Factorization Model for Recommender Systems With Multinomial Responses

Wang, Y., Bi, X. & Qu, A., Jan 1 2019, (Accepted/In press) In : Journal of Computational and Graphical Statistics.

Research output: Contribution to journal › Article

Recommender Systems
Logistics
Factorization
Categorical
Matrix Completion

Individualized Multilayer Tensor Learning With an Application in Imaging Analysis

Tang, X., Bi, X. & Qu, A., Jan 1 2019, In : Journal of the American Statistical Association.

Research output: Contribution to journal › Article

Multilayer
Tensor
Multimodality
Imaging
Breast Cancer

Longitudinal Principal Component Analysis With an Application to Marketing Data

Kinson, C., Tang, X., Zuo, Z. & Qu, A., Jan 1 2019, (Accepted/In press) In : Journal of Computational and Graphical Statistics.

Research output: Contribution to journal › Article

Longitudinal Analysis
Principal Component Analysis
Random Effects
Decompose
Multivariate Data

Smooth neighborhood recommender systems

Dai, B., Wang, J., Shen, X. & Qu, A., Feb 1 2019, In : Journal of Machine Learning Research. 20

Research output: Contribution to journal › Article

Recommender Systems
Recommender systems
Covariates
Alternating Least Squares
Pooling

Time-varying feature selection for longitudinal analysis

Xue, L., Shu, X., Shi, P., Wu, C. O. & Qu, A., Jan 1 2019, (Accepted/In press) In : Statistics in Medicine. 39, 2, p. 156-170 15 p.

Research output: Contribution to journal › Article

Longitudinal Analysis
Model Selection
Feature Selection
Time-varying
National Heart, Lung, and Blood Institute (U.S.)