Results 61 to 70 of about 20,763 (296)
Nonparametric inference via bootstrapping the debiased estimator
Electronic Journal of Statistics, 2019 In this paper, we propose to construct confidence bands by bootstrapping the debiased kernel density estimator (for density estimation) and the debiased local polynomial regression estimator (for regression analysis). The idea of using a debiased estimator was recently employed by Calonico et al.
Cheng, Gang, Chen, Yen-Chi
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A computational approach to nonparametric regression: bootstrapping CMARS method [PDF]
Machine Learning, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ceyda Yazici +2 more
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American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Congenital heart disease (CHD) and dermatologic conditions such as lymphedema and acquired melanocytic nevi (AMN) are common in Turner Syndrome (TS). We hypothesized that abnormalities of cranial neural crest cell derivatives drive the skin and heart manifestations of TS. We conducted joint cardiac and skin examinations of volunteers at a 2023
Sarah Elsaim +8 more
wiley +1 more source
Bootstrap prediction intervals for linear, nonlinear and nonparametric autoregressions [PDF]
Journal of Statistical Planning and Inference, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pan, L. +3 more
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Arthroscopy, EarlyView.Purpose To quantitatively assess intercondylar notch morphometrics using 3‐dimensional computed tomography reconstruction, evaluate their association with anterior cruciate ligament (ACL) injury in Asian populations, and investigate the prevalence of osteophytes in patients with ACL injury.
Xiaozhong Ma +9 more
wiley +1 more source
Bootstrap estimation for nonparametric efficiency estimates [PDF]
, 1995 This paper develops a consistent bootstrap estimation procedure to obtain confidence intervals for nonparametric measures of productive efficiency. Although the methodology is illustrated in terms of technical efficiency measured by output distance functions, the technique can be easily extended to other consistent nonparametric frontier models ...
WILSON, Paul, SIMAR, Leopold
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Autism Research, EarlyView.ABSTRACT Autism spectrum disorder (ASD) is characterized by alterations in social understanding and self‐related experience that overlap with broader dimensions of psychosocial vulnerability. These domains are tightly interconnected, motivating the use of analytic approaches that can capture their organization as complex associations rather than as ...
Szilárd Holka +4 more
wiley +1 more source
The Bayesian Kaplan Meier Model Under the Classical Nonparametric Bootstrap
, 2020 This study aims to introduce and encourage the other to use bootstrap methods in statistical survival analysis. We show how to bootstrap the Kaplan-Meier Bayesian estimator and pay attention to its advantage unlike the classical Bayesian analysis of the ...
Benamirouche, Rachid, Hamimes, Ahmed
core
Bootstrap-based inference for cube root asymptotics [PDF]
, 2020 This paper proposes a valid bootstrap‐based distributional approximation for M‐estimators exhibiting a Chernoff (1964)‐type limiting distribution. For estimators of this kind, the standard nonparametric bootstrap is inconsistent.
Cattaneo, Matias D. +3 more
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Advances in causal discovery methods for ecological time series
Biological Reviews, EarlyView.ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source