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  • Search: subject:"weighted and marked empirical processes"
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Year of publication
Subject
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1-step Huber-skip M-estimators 2 Forward Search 2 Huber-skip M-estimators 2 Impulse Indicator Saturation 2 gauge 2 iterated martingale inequality 2 iteration 2 weighted and marked empirical processes 2 A fixed point 1 Estimation theory 1 Poisson approximation to gauge 1 Robusti?ed Least Squares 1 Robustified Least Squares 1 Schätztheorie 1 The iterated 1-step Huber-skip M-estimator 1 Tightness 1 Weighted and marked empirical processes 1
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Online availability
All
Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
All
Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 2 English 1
Author
All
Nielsen, Bent 3 Johansen, Søren 2 Jiao, Xiyu 1
Institution
All
School of Economics and Management, University of Aarhus 1 Økonomisk Institut, Københavns Universitet 1
Published in...
All
CREATES Research Papers 1 Discussion Papers / Økonomisk Institut, Københavns Universitet 1 Economics discussion papers 1
Source
All
RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Asymptotic analysis of Iterated 1-step Huber-skip M-estimators with varying cut-offs
Jiao, Xiyu; Nielsen, Bent - 2016
Persistent link: https://www.econbiz.de/10011539752
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Cover Image
Optimal hedging with the cointegrated vector autoregressive model
Johansen, Søren; Nielsen, Bent - Økonomisk Institut, Københavns Universitet - 2014
We review recent asymptotic results on some robust methods for multiple regression. The regressors include stationary and non-stationary time series as well as polynomial terms. The methods include the Huber-skip M-estimator, 1-step Huber-skip M-estimators, in particular the Impulse Indicator...
Persistent link: https://www.econbiz.de/10010937950
Saved in:
Cover Image
Outlier detection algorithms for least squares time series regression
Johansen, Søren; Nielsen, Bent - School of Economics and Management, University of Aarhus - 2014
We review recent asymptotic results on some robust methods for multiple regression. The regressors include stationary and non-stationary time series as well as polynomial terms. The methods include the Huber-skip M-estimator, 1-step Huber-skip M-estimators, in particular the Impulse Indicator...
Persistent link: https://www.econbiz.de/10010940884
Saved in:
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