70 citations · 200 across the 28 of their papers we have counts for
15 papers · 1 filter
Goodness-of-fit for distributions on metric spaces
Diego Serrano, Eduardo García-Portugués, Ingrid Van Keilegom
We propose a general goodness-of-fit framework for distributions on separable metric spaces. Under suitable identifiability conditions, probability distributions are characterized…
A flexible control function approach for survival data subject to different types of censoring
Ilias Willems, Sara Rutten, Gilles Crommen +1
This paper addresses the problem of identifying and estimating the causal effect of a treatment in the presence of unmeasured confounding and various types of right-censoring. Exam…
Density estimation and regression analysis on S^d in the presence of measurement error
Jeong Min Jeon, Ingrid Van Keilegom
This paper studies density estimation and regression analysis with contaminated data observed on the unit hypersphere S^d. Our methodology and theory are based on harmonic analysis…
An instrumental variable approach under dependent censoring
Gilles Crommen, Jad Beyhum, Ingrid Van Keilegom
This paper considers the problem of inferring the causal effect of a variable on a dependently censored survival time . We allow for unobserved confounding variables, such t…
Instrumental variable estimation of dynamic treatment effects on a duration outcome
Jad Beyhum, Samuele Centorrino, Jean-Pierre Florens +1
This paper considers identification and estimation of the causal effect of the time Z until a subject is treated on a survival outcome T. The treatment is not randomly assigned, T…
Semi-Parametric Estimation of Incubation and Generation Times by Means of Laguerre Polynomials
Alexander Kreiss, Ingrid Van Keilegom
In epidemics many interesting quantities, like the reproduction number, depend on the incubation period (time from infection to symptom onset) and/or the generation time (time unti…
Nonparametric instrumental regression with right censored duration outcomes
Jad Beyhum, Jean-Pierre FLorens, Ingrid Van Keilegom
This paper analyzes the effect of a discrete treatment Z on a duration T. The treatment is not randomly assigned. The confounding issue is treated using a discrete instrumental var…
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…
A General Approach for Cure Models in Survival Analysis
Valentin Patilea, Ingrid Van Keilegom
In survival analysis it often happens that some subjects under study do not experience the event of interest; they are considered to be `cured'. The population is thus a mixture of…
Expansion for moments of regression quantiles with application to nonparametric testing
Enno Mammen, Ingrid Van Keilegom, Kyusang Yu
We discuss nonparametric tests for parametric specifications of regression quantiles. The test is based on the comparison of parametric and nonparametric fits of these quantiles. T…
On the identifiability of copulas in bivariate competing risks models
Maik Schwarz, Geurt Jongbloed, Ingrid Van Keilegom
In competing risks models, the joint distribution of the event times is not identifiable even when the margins are fully known, which has been referred to as the "identifiability c…
Uniform in bandwidth exact rates for a class of kernel estimators
Davit Varron, Ingrid Van Keilegom
Given an i.i.d sample , taking values in $\RRR^{d'}\times \RRR^d$, we consider a collection Nadarya-Watson kernel estimators of the conditional expectations $\EEE(<c_g(z…
Single index regression models in the presence of censoring depending on the covariates
Olivier Lopez, Valentin Patilea, Ingrid Van Keilegom
Consider a random vector (X',Y)', where X is d-dimensional and Y is one-dimensional. We assume that Y is subject to random right censoring. The aim of this paper is twofold. First,…
Estimation of the Error Density in a Semiparametric Transformation Model
Rawane Samb, Cédric Heuchenne, Ingrid Van Keilegom
Consider the semiparametric transformation model , where is an unknown finite dimensional parameter, the functions and are smooth, is ind…
A goodness-of-fit test for parametric and semi-parametric models in multiresponse regression
Song Xi Chen, Ingrid Van Keilegom
We propose an empirical likelihood test that is able to test the goodness of fit of a class of parametric and semi-parametric multiresponse regression models. The class includes as…