BING LI

17 catalog papers. Name-matched publications do not establish a verified researcher identity.

Department of Statistics, Pennsylvania State University , University Park, PA 16802 , USA

Publications

• Generalized point process additive models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) (name-matched, not ORCID-linked)
• Nonlinear function-on-function regression by RKHS — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Learning causal graphs via nonlinear sufficient dimension reduction — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Functional Directed Acyclic Graphs — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• On Sufficient Graphical Models — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Spectral Regularized Kernel Goodness-of-Fit Tests — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Learning Causal Networks via Additive Faithfulness — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• On efficient dimension reduction with respect to a statistical functional of interest — The Annals of Statistics 2014 (name-matched, not ORCID-linked)
• A general theory for nonlinear sufficient dimension reduction: Formulation and estimation — The Annals of Statistics 2013 (name-matched, not ORCID-linked)
• Sufficient dimension reduction based on an ensemble of minimum average variance estimators — The Annals of Statistics 2011 (name-matched, not ORCID-linked)
• Dimension reduction for nonelliptically distributed predictors — The Annals of Statistics 2009 (name-matched, not ORCID-linked)
• On Directional Regression for Dimension Reduction — Journal of the American Statistical Association 2007 (name-matched, not ORCID-linked)
• On surrogate dimension reduction for measurement error regression: An invariance law — The Annals of Statistics 2007 (name-matched, not ORCID-linked)
• Dimension reduction in regression without matrix inversion — Biometrika 2007 (name-matched, not ORCID-linked)
• Contour regression: A general approach to dimension reduction — The Annals of Statistics 2005 (name-matched, not ORCID-linked)
• Determining the dimension of iterative Hessian transformation — The Annals of Statistics 2004 (name-matched, not ORCID-linked)
• Improving generalised estimating equations using quadratic inference functions — Biometrika 2000 (name-matched, not ORCID-linked)