Linear censored regression models with skew scale mixtures of normal distributions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1795814
Abstract: A special source of difficulty in the statistical analysis is the possibility that some subjects may not have a complete observation of the response variable. Such incomplete observation of the res... read more here.
Keywords: models skew; regression models; censored regression; skew scale ... See more keywords
Variable Kernel Width Algorithm of Generalized Maximum Correntropy Criteria for Censored Regression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3103504
Abstract: The constant kernel width of generalized maximum correntropy criteria (GMCC) has arisen that the steady-state error and convergence speed can be mutually exclusive. To solve this problem, this brief proposes the variable kernel width (VKW)… read more here.
Keywords: generalized maximum; correntropy criteria; kernel width; censored regression ... See more keywords
Robust Adaptive Least Mean M-Estimate Algorithm for Censored Regression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3120272
Abstract: An adaptive least mean M-estimate algorithm for censored regression (CR-LMM) is presented for the robust parameter estimation of the censored regression system. To correct the bias produced by censored observation, the estimated error derived from… read more here.
Keywords: regression; adaptive least; censored regression; least mean ... See more keywords