Data sharpening via firth’s adjusted score function

Autor:	Patrick Brown, James E. Stafford, W. John Braun
Rok vydání:	2020
Předmět:	Statistics and Probability 010102 general mathematics Score Derivative estimation Sharpening Density estimation 01 natural sciences Regression Bias reduction 010104 statistics & probability Firth Statistics Kernel regression 0101 mathematics Statistics Probability and Uncertainty Mathematics
Zdroj:	Statistics & Probability Letters. 165:108831
ISSN:	0167-7152
DOI:	10.1016/j.spl.2020.108831
Popis:	Data sharpening can reduce bias in non-parametric regression and density estimation. Firth’s (1993) approach to bias reduction through adjustment of the score function provides an underlying framework for data sharpening and extensions, such as sharpened derivative estimation in kernel regression.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::994ac532e3e7b475e43de10cb4c9b595 https://doi.org/10.1016/j.spl.2020.108831 Zobrazit plný text záznamu Full Text from ScienceDirect