Everything about Resampling

🧭 Start here: a 6-step reading path

1. Read the overview: ResamplingA 5-minute orientation
2. Skim a recent paper: A Deep Learning Ensemble With Data Resampling for Credit Card Fraud DetectionInfluential work since 2022
3. Pick up a classic book: The Jackknife and BootstrapThe most-reprinted book on the subject
4. Read the landmark paper: Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator modelsCited 29,378 times
5. Go sideways: Sample-rate conversionA closely related topic
6. Go sideways: UpsamplingA closely related topic

🏆 Landmark papers (most cited)

• Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

  Kristopher J. Preacher, Andrew F. Hayes · 2008 · Behavior Research Methods · 29,378 citations

• Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods

  David P. MacKinnon, Chondra M. Lockwood, Jason Williams · 2004 · Multivariate Behavioral Research · 6,569 citations

• Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data

  Stefano Monti, Pablo Tamayo, Jill Mesirov · 2003 · Machine Learning · 1,914 citations

• Ranking treatments in frequentist network meta-analysis works without resampling methods

  Gerta Rücker, Guido Schwarzer · 2015 · BMC Medical Research Methodology · 1,557 citations

• Prediction error estimation: a comparison of resampling methods

  Annette M. Molinaro, Richard Simon, Ruth M. Pfeiffer · 2005 · Bioinformatics · 1,175 citations

• Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis

  C. F. J. Wu · 1986 · The Annals of Statistics · 1,051 citations

• Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models

  Jason Williams, David P. MacKinnon · 2008 · Structural Equation Modeling: A Multidisciplinary Journal · 1,012 citations

• A Multiple Resampling Method for Learning from Imbalanced Data Sets

  Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz · 2004 · Computational Intelligence · 808 citations

🆕 Influential since 2022

• A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection

  Ibomoiye Domor Mienye, Yanxia Sun · 2023 · IEEE Access · 182 citations

• Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning

  Ahmed Abdelkhalek, Maggie Mashaly · 2023 · The Journal of Supercomputing · 171 citations

• Resampling approaches to handle class imbalance: a review from a data perspective

  Miguel Carvalho, Armando J. Pinho, Susana Brás · 2025 · Journal of Big Data · 162 citations

• A review of resampling techniques in particle filtering framework

  Chanin Kuptametee, Nattapol Aunsri · 2022 · Measurement · 120 citations

• SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models

  Gazi Husain, Daniel Nasef, Rejath Jose · 2025 · Algorithms · 98 citations

📚 Books worth reading

• The Jackknife and BootstrapJun Shao, Dongsheng Tu · 1995
• Resampling methodsPhillip I. Good · 1999
• Introduction to Statistics Through Resampling Methods and Microsoft Office ExcelPhillip I. Good · 2005
• 📕Permutation testsPhillip I. Good · 1994
• Permutation TestsPhillip Good · 1997
• Introduction to statistics through resampling methods and RPhillip I. Good · 2013
• Permutation methodsPaul W. Jr. Mielke, Kenneth J. Berry · 2001
• The jackknife, the bootstrap, and other resampling plansBradley Efron · 1982

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Sample-rate conversion Sample-rate conversion, sampling-frequency conversion or resampling is the process of changing the sampling rate of a discrete signal to obtain a new discrete…
• Upsampling In digital signal processing, upsampling, expansion, and interpolation are terms associated with the process of resampling in a multi-rate digital signal…
• Reconstruction filter In a mixed-signal system (analog and digital), a reconstruction filter, sometimes called an anti-imaging filter, is used to construct a smooth analog signal…
• Lanczos resampling Lanczos filtering and Lanczos resampling are two applications of a certain mathematical formula. It can be used as a low-pass filter or used to smoothly…
• Image scaling In computer graphics and digital imaging, image scaling is the resizing of a digital image. In video technology, the magnification of digital material…
• Audio time stretching and pitch scaling Time stretching is the process of changing the speed or duration of an audio signal without affecting its pitch. Pitch scaling is the opposite: the process…
• Subsampling Look up subsampling in Wiktionary, the free dictionary. Subsampling or sub-sampling may refer to: Resampling (alternative to bootstrap) Sampling (statistics)…
• Sampling (signal processing) In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave…