Linglong Kong

12 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-3011-9216

Department of Mathematical and Statistical Sciences, University of Alberta, Canada

Publications

• Transfer Conformal Predictive Inference for Regression — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Scalable inference in functional linear regression with streaming data — The Annals of Statistics 2026
• Adaptive Selection for False Discovery Rate Control Leveraging Symmetry — Journal of the American Statistical Association 2026 (name-matched, not ORCID-linked)
• Inference on High-dimensional Single-index Models with Streaming Data — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• High-Dimensional Spatial Quantile Function-on-Scalar Regression — Journal of the American Statistical Association 2022
• Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning” — Journal of the American Statistical Association 2022
• A general framework for quantile estimation with incomplete data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
• Model-Robust Designs for Quantile Regression — Journal of the American Statistical Association 2015 (name-matched, not ORCID-linked)
• Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities — Journal of the American Statistical Association 2014 (name-matched, not ORCID-linked)
• Multivariate varying coefficient model for functional responses — The Annals of Statistics 2012 (name-matched, not ORCID-linked)
• Fairness-Aware Gaussian Graphical Regression Models with Application to Brain Co-Expression QTL Studies — Journal of the American Statistical Association
• ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Experiments — Journal of the American Statistical Association (name-matched, not ORCID-linked)