Data Sharpening and Kernel Smoothing

Peer-Reviewed Publications

• L Tazik, J Stafford, WJ Braun (2025) Local Polynomial -norm Regression. Statistics & Computing 35 (4), 103.
• Hanxiao Chen, W John Braun, Xiaoping Shi (2025) Iterated Data Sharpening. Journal of Computational and Graphical Statistics 34 (1), 162-174
• D Wang, WJ Braun (2025) A comparison of bandwidth selectors for moderate degree local polynomial regression Statistical Methods & Applications 34 (2), 171-194.
• WJ Braun, J Stafford, P Brown (2020) Data sharpening via Firth’s adjusted score function. Statistics & Probability Letters 165, 108831
• WJ Braun, XJ Hu, X Kang (2018) Data sharpening in local regression guided by global constraint. Statistica Sinica 28 (4), 2733-2748 2.
• MA Wolters, WJ Braun (2018) A practical implementation of weighted kernel density estimation for handling shape constraints. Stat 7 (1), e202.
• DG Becker, WJ Braun, BJG White (2017) Interval-censored unimodal kernel density estimation via data sharpening. Journal of Statistical Computation and Simulation 87 (10), 2023-2037.

Preprints

• C Ge, WJ Braun (2025) Differential Equation-Constrained Local Regression for Data with Sparse Design . arXiv preprint arXiv:2507.06409
• Simon Snyman, Lengyi Han, W John Braun (2025) On Data Sharpening in Nonparametric Autoregressive Models arXiv preprint arXiv:2505.07283
• C Ge, WJ Braun (2025) Local Quasi-Exponential Growth Models: Kernel Differential Equation Regression and Sparse Data arXiv preprint arXiv:2505.00231.
• Wang, D., Braun, W.J. and Hu, X.J. (2020) Data sharpening from a ridge perspective.
• Wang, D., Braun, W.J. and Hu, X.J. (2020) Data sharpening by using Douglas-Rachford algorithm.