A new kernel-smoothed estimator using complex-domain moment generating functions achieves root-n consistency and asymptotic normality for general linear and nonlinear quantile regression with normal measurement errors in covariates.
Journal of the American Statistical Association , volume=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Quantile regression with measurement errors
A new kernel-smoothed estimator using complex-domain moment generating functions achieves root-n consistency and asymptotic normality for general linear and nonlinear quantile regression with normal measurement errors in covariates.