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  • Search: subject:"bootstrap limit theorems"
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Year of publication
Subject
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Central limit theorem 4 bootstrap limit theorems 4 high dimensions 4 sparsely convex sets 4 Bootstrap approach 2 Bootstrap-Verfahren 2 Estimation theory 2 Schätztheorie 2 Zentraler Grenzwertsatz 2 hyperrectangles 2 rectangles 2
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Online availability
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Free 4
Type of publication
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Book / Working Paper 4
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 4
Author
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Chernozhukov, Victor 4 Chetverikov, Denis 4 Kato, Kengo 4
Published in...
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CEMMAP working papers / Centre for Microdata Methods and Practice 2 cemmap working paper 2
Source
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ECONIS (ZBW) 2 EconStor 2
Showing 1 - 4 of 4
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Central limit theorems and bootstrap in high dimensions
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2016
In this paper, we derive central limit and bootstrap theorems for probabilities that centered high-dimensional vector sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the probabilities that a root-n rescaled sample average of Xi is...
Persistent link: https://www.econbiz.de/10011594349
Saved in:
Cover Image
Central limit theorems and bootstrap in high dimensions
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2016 - This version: May 31, 2016
In this paper, we derive central limit and bootstrap theorems for probabilities that centered high-dimensional vector sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the probabilities that a root-n rescaled sample average of Xi is...
Persistent link: https://www.econbiz.de/10011525777
Saved in:
Cover Image
Central limit theorems and bootstrap in high dimensions
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2014
In this paper, we derive central limit and bootstrap theorems for probabilities that centered high-dimensional vector sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the probabilities that a root-n rescaled sample average of Xi is...
Persistent link: https://www.econbiz.de/10011445703
Saved in:
Cover Image
Central limit theorems and bootstrap in high dimensions
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2014 - This version: December 11, 2014
In this paper, we derive central limit and bootstrap theorems for probabilities that centered high-dimensional vector sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the probabilities that a root-n rescaled sample average of Xi is...
Persistent link: https://www.econbiz.de/10010459841
Saved in:
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