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  • Search: subject:"Z-estimation"
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Year of publication
Subject
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Z-estimation 9 Bahadur representation 5 LASSO 5 martingale decomposition 5 simultaneous inference 5 system of equations 5 time series 5 Estimation theory 3 Induktive Statistik 3 Schätztheorie 3 Statistical inference 3 Calibration 2 Characterisation 2 Decomposition method 2 Dekompositionsverfahren 2 Identification function 2 Instrument 2 Martingal 2 Martingale 2 Neyman's Orthogonal Score test 2 Point forecasts 2 Post-selection inference 2 Sparsity 2 Time series analysis 2 Uniformly valid inference 2 Zeitreihenanalyse 2 Regression analysis 1 Regressionsanalyse 1 Statistical test 1 Statistical theory 1 Statistische Methodenlehre 1 Statistischer Test 1
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Online availability
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Free 9
Type of publication
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Book / Working Paper 7 Article 2
Type of publication (narrower categories)
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Working Paper 7 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Article 2
Language
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English 9
Author
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Chernozhukov, Victor 7 Huang, Chen 5 Wang, Weining 5 Härdle, Wolfgang 4 Belloni, Alexandre 2 Dimitriadis, Timo 2 Fissler, Tobias 2 Kato, Kengo 2 Ziegel, Johanna 2 Härdle, Wolfgang Karl 1
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Published in...
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CEMMAP working papers / Centre for Microdata Methods and Practice 3 cemmap working paper 3 Statistical Papers 2 IRTG 1792 Discussion Paper 1
Source
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EconStor 6 ECONIS (ZBW) 3
Showing 1 - 9 of 9
Cover Image
Osband’s principle for identification functions
Dimitriadis, Timo; Fissler, Tobias; Ziegel, Johanna - In: Statistical Papers 65 (2023) 2, pp. 1125-1132
Given a statistical functional of interest such as the mean or median, a (strict) identification function is zero in expectation at (and only at) the true functional value. Identification functions are key objects in forecast validation, statistical estimation and dynamic modelling. For a...
Persistent link: https://www.econbiz.de/10015328817
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Cover Image
Osband’s principle for identification functions
Dimitriadis, Timo; Fissler, Tobias; Ziegel, Johanna - In: Statistical Papers 65 (2023) 2, pp. 1125-1132
Given a statistical functional of interest such as the mean or median, a (strict) identification function is zero in expectation at (and only at) the true functional value. Identification functions are key objects in forecast validation, statistical estimation and dynamic modelling. For a...
Persistent link: https://www.econbiz.de/10015399589
Saved in:
Cover Image
LASSO-driven inference in time and space
Chernozhukov, Victor; Härdle, Wolfgang; Huang, Chen; … - 2019
We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal and cross-sectional dependency in covariates and error processes, covering rather general forms of weak dependence. A sequence of regressions with many regressors using LASSO...
Persistent link: https://www.econbiz.de/10012146373
Saved in:
Cover Image
LASSO-driven inference in time and space
Chernozhukov, Victor; Härdle, Wolfgang; Huang, Chen; … - 2019
We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal and cross-sectional dependency in covariates and error processes, covering rather general forms of weak dependence. A sequence of regressions with many regressors using LASSO...
Persistent link: https://www.econbiz.de/10012003693
Saved in:
Cover Image
LASSO-driven inference in time and space
Chernozhukov, Victor; Härdle, Wolfgang; Huang, Chen; … - 2018
We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal and cross-sectional dependency in covariates and error processes, covering rather general forms of weak dependence. A sequence of large-scale regressions with LASSO is applied to...
Persistent link: https://www.econbiz.de/10011941488
Saved in:
Cover Image
LASSO-Driven Inference in Time and Space
Chernozhukov, Victor; Härdle, Wolfgang Karl; Huang, Chen; … - 2018
We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal and cross-sectional dependency in covariates and error processes, covering rather general forms of weak dependence. A sequence of large-scale regressions with LASSO is applied to...
Persistent link: https://www.econbiz.de/10012433170
Saved in:
Cover Image
LASSO-driven inference in time and space
Chernozhukov, Victor; Härdle, Wolfgang; Huang, Chen; … - 2018
We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal and cross-sectional dependency in covariates and error processes, covering rather general forms of weak dependence. A sequence of large-scale regressions with LASSO is applied to...
Persistent link: https://www.econbiz.de/10011865621
Saved in:
Cover Image
Uniform post selection inference for LAD regression and other Z-estimation problems
Belloni, Alexandre; Chernozhukov, Victor; Kato, Kengo - 2014
general non-smooth Z-estimation framework with the number of target parameters p1 being possibly much larger than the sample …
Persistent link: https://www.econbiz.de/10011445709
Saved in:
Cover Image
Uniform post selection inference for LAD regression and other Z-estimation problems
Belloni, Alexandre; Chernozhukov, Victor; Kato, Kengo - 2014
general non-smooth Z-estimation framework with the number of target parameters p1 being possibly much larger than the sample …
Persistent link: https://www.econbiz.de/10010462672
Saved in:
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