4 citations · 7 across the 3 of their papers we have counts for
4 papers · 1 filter
Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data
Justin Chown
A residual-based empirical distribution function is proposed to estimate the distribution function of the errors of a heteroskedastic nonparametric regression with responses missin…
Efficiently estimating the error distribution in nonparametric regression with responses missing at random
Justin Chown, Ursula U. Müller
This article considers nonparametric regression models with multivariate covariates and with responses missing at random. We estimate the regression function with a local polynomia…
Detecting heteroskedasticity in nonparametric regression using weighted empirical processes
Justin Chown, Ursula U. Müller
Heteroskedastic errors can lead to inaccurate statistical conclusions if they are not properly handled. We introduce a test for heteroskedasticity for the nonparametric regression…
Regularization parameter selection in indirect regression by residual based bootstrap
Nicolai Bissantz, Justin Chown, Holger Dette
Residual-based analysis is generally considered a cornerstone of statistical methodology. For a special case of indirect regression, we investigate the residual-based empirical dis…