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Correction for Buche et al., Trait-mediated interactions drive local diversity. [PDF]
Proc Natl Acad Sci U S Aeuropepmc +1 more source
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A Bootstrap Approach to Nonparametric Regression for Right Censored Data
Annals of the Institute of Statistical Mathematics, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Somnath Datta
exaly +2 more sources
Nonparametric Bootstrap for Propensity Score Matching Estimators
SSRN Electronic Journal, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bodory, Hugo +3 more
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A nonparametric bootstrap method for spatial data
Computational Statistics & Data Analysis, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sergio Castillo-Páez +2 more
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A NONPARAMETRIC BOOTSTRAP TEST OF CONDITIONAL DISTRIBUTIONS
Econometric Theory, 2006Summary: This paper proposes a bootstrap test for the correct specification of parametric conditional distributions. It extends \textit{J. X. Zheng}'s test [ibid. 16, No. 5, 667--691 (2000; Zbl 0967.62032)] to allow for discrete dependent variables and for mixed discrete and continuous conditional variables.
Fan, Yanqin, Li, Qi, Min, Insik
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Bootstrapping nonparametric estimators of the volatility function
Journal of Econometrics, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Franke, Jürgen +2 more
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2016
This chapter introduces Efron’s nonparametric bootstrap, with applications to linear statistics, and semi-linear regression due to Bickel and Freedman.
Rabi Bhattacharya +2 more
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This chapter introduces Efron’s nonparametric bootstrap, with applications to linear statistics, and semi-linear regression due to Bickel and Freedman.
Rabi Bhattacharya +2 more
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Bootstrap Methods in Nonparametric Regression
1991Bootstrap techniques naturally arise in the setting of nonparametric regression when we consider questions of smoothing parameter selection or error bar construction. The bootstrap provides a simple-to-implement alternative to procedures based on asymptotic arguments.
Mammen, Enno, Härdle, Wolfgang
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Nonparametric bootstrapping for hierarchical data
Journal of Applied Statistics, 2010Nonparametric bootstrapping for hierarchical data is relatively underdeveloped and not straightforward: certainly it does not make sense to use simple nonparametric resampling, which treats all observations as independent. We have provided some resampling strategies of hierarchical data, proved that the strategy of nonparametric bootstrapping on the ...
Shiquan Ren +5 more
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