Bootstrap Risk Estimation
Bootstrap Risk Estimation is a resampling-based statistical method that belongs to the class of nonparametric risk estimation techniques, distinguished by its use of repeated sampling with replacement from the observed data to approximate the sampling distribution of a risk estimator and thereby assess its uncertainty or variability.
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2017–2026
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Islamic Azad University South Tehran Branch
Tehran, Iran
2 h-index
5 publications
162 citations

University of Waterloo
Waterloo, Canada
2 h-index
2 publications
33 citations

Islamic Azad University, Tehran
Tehran, Iran
1 h-index
2 publications
42 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
34 citations
Centre de Recherche en Économie et Statistique
Palaiseau, France
1 h-index
1 publications
23 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
11 citations
Development Agency of Serbia
Belgrade, Serbia
1 h-index
1 publications
25 citations
Curtin University
Perth, Australia
1 h-index
1 publications
17 citations
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3 publications · 44 citations
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1 publications · 17 citations
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1 publications · 24 citations
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1 publications · 12 citations
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Repository · 1 publications · 15 citations
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