:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Elynn Y., Xia, Dong, Cai, Chencheng, Fan, Jianqing
Format:	Preprint
Published:	2020
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2007.02404
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Factor Augmented Matrix Regression
by: Chen, Elynn, et al.
Published: (2024)

A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
by: Zhang, Haoran, et al.
Published: (2019)

Time-Varying Matrix Factor Models
by: Chen, Bin, et al.
Published: (2024)

A Canonical Variate Analysis Biplot based on the Generalized Singular Value Decomposition
by: Ganey, Raeesa, et al.
Published: (2025)

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
by: Chen, Elynn, et al.
Published: (2024)

Modewise Additive Factor Model for Matrix Time Series
by: Chen, Elynn, et al.
Published: (2025)

Distributed Tensor Principal Component Analysis with Data Heterogeneity
by: Chen, Elynn, et al.
Published: (2024)

High-Dimensional Tensor Classification with CP Low-Rank Discriminant Structure
by: Chen, Elynn, et al.
Published: (2024)

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
by: Kong, Linghang, et al.
Published: (2024)

Factor and Idiosyncratic VAR Volatility Matrix Models for Heavy-Tailed High-Frequency Financial Observations
by: Shin, Minseok, et al.
Published: (2021)

Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
by: Chen, Elynn, et al.
Published: (2026)

Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
by: Chen, Elynn, et al.
Published: (2024)

SMART Fine-tuning Factor Augmented Neural Lasso
by: Chai, Jinhang, et al.
Published: (2026)

Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models
by: Chen, Elynn, et al.
Published: (2024)

Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification
by: Fan, Jianqing, et al.
Published: (2023)

Advancing Information Integration through Empirical Likelihood: Selective Reviews and a New Idea
by: Chen, Chixiang, et al.
Published: (2024)

Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
by: Zhang, Yi, et al.
Published: (2025)

Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
by: Zhang, Anru, et al.
Published: (2018)

Transfer Q-learning
by: Chen, Elynn, et al.
Published: (2022)

Neural Generative Distributional Regression
by: Chai, Jinhang, et al.
Published: (2026)

High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025)

Semi-parametric local variable selection under misspecification
by: Rossell, David, et al.
Published: (2023)

Semi-parametric goodness-of-fit testing for INAR models
by: Faymonville, Maxime, et al.
Published: (2024)

Exploring causal effects of hormone- and radio-treatments in an observational study of breast cancer using copula-based semi-competing risks models
by: Yu, Tonghui, et al.
Published: (2024)

Factor Adjusted Spectral Clustering for Mixture Models
by: Tang, Shange, et al.
Published: (2024)

Semi-parametric Markov models for multi-type point patterns
by: Jensen, Ib Thorsgaard, et al.
Published: (2025)

Semi-Confirmatory Factor Analysis for High-Dimensional Data with Interconnected Community Structures
by: Yang, Yifan, et al.
Published: (2024)

Uncertainty Quantification for Ranking with Heterogeneous Preferences
by: Fan, Jianqing, et al.
Published: (2025)

Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026)

Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
by: Liu, Wenyang, et al.
Published: (2024)

Inference for Heteroskedastic PCA with Missing Data
by: Yan, Yuling, et al.
Published: (2021)

Semi-parametric bulk and tail regression using spline-based neural networks
by: Majumder, Reetam, et al.
Published: (2025)

Semi-parametric least-area linear-circular regression through Möbius transformation
by: Biswas, Surojit, et al.
Published: (2024)

Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)

Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)

UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)

Tensor Factor Model Estimation by Iterative Projection
by: Han, Yuefeng, et al.
Published: (2020)

Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)

Factor Informed Double Deep Learning For Average Treatment Effect Estimation
by: Fan, Jianqing, et al.
Published: (2025)