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Search: subject_exact:"Estimation theory"
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Nonparametric statistics
Estimation theory
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Nichtparametrisches Verfahren
21
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21
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Van Keilegom, Ingrid
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103
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44
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1
A general approach for cure models in survival analysis
Patilea, Valentin
;
Van Keilegom, Ingrid
-
2019
Persistent link: https://www.econbiz.de/10012050908
Saved in:
2
Nonparametric testing for information asymmetry in the mortgage servicing market
Jedidi, Helmi
;
Dionne, Georges
-
2019
Persistent link: https://www.econbiz.de/10012139162
Saved in:
3
The nonparametric locationscale mixture cure model
Chown, Justin
;
Heuchenne, Cédric
;
Van Keilegom, Ingrid
-
2018
Persistent link: https://www.econbiz.de/10012050816
Saved in:
4
Nonparametric covariate significance tests for the incidence in cure models
López-Cheda, Ana
;
Jácome, M. Amalia
;
Van Keilegom, Ingrid
-
2018
Persistent link: https://www.econbiz.de/10012050818
Saved in:
5
Bootstrap of residual processes in regression : to smooth or not to smooth?
Neumeyer, Natalie
;
Van Keilegom, Ingrid
-
2018
Persistent link: https://www.econbiz.de/10012050820
Saved in:
6
Estimation of a semiparametric transformation model : a novel approach based on least squares minimization
Colling, Benjamin
;
Van Keilegom, Ingrid
-
2018
Persistent link: https://www.econbiz.de/10012050825
Saved in:
7
Goodness-of-fit test for a parametric survival function with cure fraction
Geerdens, Candida
;
Janssen, Paul
;
Van Keilegom, Ingrid
-
2018
Persistent link: https://www.econbiz.de/10012050828
Saved in:
8
Non-parametric cure rate estimation under insufficient follow-up using extremes
Escobar-Bach, Mikael
;
Van Keilegom, Ingrid
-
2018
Persistent link: https://www.econbiz.de/10012050834
Saved in:
9
Estimation of fully nonparametric transformation models
Colling, Benjamin
;
Van Keilegom, Ingrid
-
2018
Persistent link: https://www.econbiz.de/10012050888
Saved in:
10
Nonparametric forecasting of multivariate probability density functions
Guégan, Dominique
;
Iacopini, Matteo
-
2018
Persistent link: https://www.econbiz.de/10011868987
Saved in:
11
Estimation and testing of stochastic frontier models using variational Bayes
Hajargasht, Gholamreza
;
Griffiths, William E.
-
2016
Persistent link: https://www.econbiz.de/10011521961
Saved in:
12
Confidence intervals for high-dimensional partially linear single-index models
Gueuning, T.
;
Claeskens, G.
-
2016
Persistent link: https://www.econbiz.de/10011658642
Saved in:
13
Multivariate mixtures of Erlangs for density estimation under censoring and truncation : additional examples
Verbelen, Roel
;
Antonio, Katrien
;
Claeskens, Gerda
-
2015
Persistent link: https://www.econbiz.de/10011290638
Saved in:
14
Simultaneous confidence bands for penalized spline estimators
Krivobokova, Tatyana
;
Kneib, Thomas
;
Claeskens, Gerda
-
2009
Persistent link: https://www.econbiz.de/10003983011
Saved in:
15
Confidence intervals for estimates of elasticities
Hirschberg, Joseph G.
(
contributor
); …
-
2008
Persistent link: https://www.econbiz.de/10003791741
Saved in:
16
Robustness versus efficiency for nonparametric correlation measureso
Croux, Christophe
;
Dehon, Catherine
-
2008
Persistent link: https://www.econbiz.de/10003976901
Saved in:
17
Nonparametric estimation of mean and dispersion functions in extended generalized linear models
Gijbels, Irène
;
Prosdocimi, Ilaria
;
Claeskens, G.
-
2008
Persistent link: https://www.econbiz.de/10003977319
Saved in:
18
S-estimation for penalized regression splines
Tharmaratnam, K.
;
Claeskens, G.
;
Croux, Christophe
; …
-
2008
Persistent link: https://www.econbiz.de/10003977689
Saved in:
19
Asymptotic properties of penalized spline estimators
Claeskens, Gerda
;
Krivobokova, Tatyana
;
Opsomer, Jean D.
-
2007
Persistent link: https://www.econbiz.de/10003976858
Saved in:
20
Some asymptotic results on generalized penalized spline smoothing
Kauermann, Göran
(
contributor
); …
-
2007
Persistent link: https://www.econbiz.de/10003625816
Saved in:
21
Non parametric regression with spatially dependent data
Gerolimetto, Margherita
;
Magrini, Stefano
-
2009
Persistent link: https://www.econbiz.de/10003913060
Saved in:
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