Fang Yao
41 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-8562-6373
School of Mathematical Sciences, Center for Statistical Science, Peking University
Publications
- Deep Regression for Repeated Measurements — Journal of the American Statistical Association 2025
- Computationally efficient whole-genome signal region detection for quantitative and binary traits — The Annals of Applied Statistics 2025
- Ordinary differential equation models for a collection of discretized functions — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
- Theory of functional principal component analysis for discretely observed data — The Annals of Statistics 2025 (name-matched, not ORCID-linked)
- Fast Signal Region Detection With Application to Whole Genome Association Studies — Journal of the American Statistical Association 2025
- Online Smooth Backfitting for Generalized Additive Models — Journal of the American Statistical Association 2024
- Dynamic Matrix Recovery — Journal of the American Statistical Association 2024
- Dynamic Principal Component Analysis in High Dimensions — Journal of the American Statistical Association 2024
- Optimal Linear Discriminant Analysis for High-Dimensional Functional Data — Journal of the American Statistical Association 2024
- Policy evaluation for temporal and/or spatial dependent experiments — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- Green’s matching: an efficient approach to parameter estimation in complex dynamic systems — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- Network-level traffic flow prediction: Functional time series vs. functional neural network approach — The Annals of Applied Statistics 2024
- Data-driven selection of the number of change-points via error rate control — Journal of the American Statistical Association 2023
- Functional linear regression for discretely observed data: from ideal to reality — Biometrika 2023
- Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Test of Weak Separability for Spatially Stationary Functional Field — Journal of the American Statistical Association 2023
- Intrinsic Riemannian functional data analysis for sparse longitudinal observations — The Annals of Statistics 2022
- Nonparametric Principal Subspace Regression — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Functional regression on the manifold with contamination — Biometrika 2021
- Distribution and correlation-free two-sample test of high-dimensional means — The Annals of Statistics 2020
- Intrinsic Riemannian functional data analysis — The Annals of Statistics 2019 (name-matched, not ORCID-linked)
- From multiple Gaussian sequences to functional data and beyond: a Stein estimation approach — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
- Mixture inner product spaces and their application to functional data analysis — The Annals of Statistics 2018
- Optimal Bayes classifiers for functional data and density ratios — Biometrika 2017 (name-matched, not ORCID-linked)
- Partially functional linear regression in high dimensions — Biometrika 2016
- Effective dimension reduction for sparse functional data — Biometrika 2015
- Structured functional additive regression in reproducing kernel Hilbert spaces — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
- Continuously additive models for nonlinear functional regression — Biometrika 2013
- Additive modelling of functional gradients — Biometrika 2010
- Functional quadratic regression — Biometrika 2010
- Empirical dynamics for longitudinal data — The Annals of Statistics 2010 (name-matched, not ORCID-linked)
- Functional Additive Models — Journal of the American Statistical Association 2008
- Modelling sparse generalized longitudinal observations with latent Gaussian processes — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2008
- Penalized spline models for functional principal component analysis — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2006
- Functional Variance Processes — Journal of the American Statistical Association 2006
- Functional linear regression analysis for longitudinal data — The Annals of Statistics 2005
- Functional Data Analysis for Sparse Longitudinal Data — Journal of the American Statistical Association 2005
- Nonparametric Prior Learning in Differential Equation Modeling — Journal of the American Statistical Association
- Covariance test for discretely observed functional data: when and how it works? — Journal of the American Statistical Association
- High-dimensional Spectrum Matching: Covariance Inference Based on Universality — Journal of the American Statistical Association
- Deconfounding via Profiled Transfer Learning — Journal of the American Statistical Association