activity
20122019
collaborators

8 papers

math.ST2019

Specification testing in semi-parametric transformation models

Nick Kloodt, Natalie Neumeyer, Ingrid Van Keilegom

In transformation regression models the response is transformed before fitting a regression model to covariates and transformed response. We assume such a model where the errors ar…

math.ST2019

Nonparametric volatility change detection

Maria Mohr, Natalie Neumeyer

We consider a nonparametric heteroscedastic time series regression model and suggest testing procedures to detect changes in the conditional variance function. The tests are based…

math.ST2019

Maximum pseudo-likelihood estimation based on estimated residuals in copula semiparametric models

Marek Omelka, Šárka Hudecová, Natalie Neumeyer

This paper deals with a situation when one is interested in the dependence structure of a multidimensional response variable in the presence of a multivariate covariate. It is assu…

math.ST2019

Consistent nonparametric change point detection combining CUSUM and marked empirical processes

Maria Mohr, Natalie Neumeyer

A weakly dependent time series regression model with multivariate covariates and univariate observations is considered, for which we develop a procedure to detect whether the nonpa…

math.ST2018

Semi-parametric transformation boundary regression models

Natalie Neumeyer, Leonie Selk, Charles Tillier

In the context of nonparametric regression models with one-sided errors, we consider parametric transformations of the response variable in order to obtain independence between the…

math.ST2017

Bootstrap of residual processes in regression: to smooth or not to smooth ?

Natalie Neumeyer, Ingrid Van Keilegom

In this paper we consider a location model of the form , where is the unknown regression function, the error is independent of the…