4 citations · 7 across the 3 of their papers we have counts for
7 papers
The empirical process of residuals from an inverse regression
Tim Kutta, Nicolai Bissantz, Justin Chown +1
In this paper we investigate an indirect regression model characterized by the Radon transformation. This model is useful for recovery of medical images obtained by computed tomogr…
Goodness-of-fit testing the error distribution in multivariate indirect regression
Justin Chown, Nicolai Bissantz, Holger Dette
We propose a goodness-of-fit test for the distribution of errors from a multivariate indirect regression model. The test statistic is based on the Khmaladze transformation of the e…
The nonparametric location-scale mixture cure model
Justin Chown, Cedric Heuchenne, Ingrid Van Keilegom
We propose completely nonparametric methodology to investigate location-scale modelling of two-component mixture cure models, where the responses of interest are only indirectly ob…
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…