Keyword

influence function

Description: An influence function describes how a system’s response or an estimator changes under an input or perturbation, with meanings varying across mechanics, fluid dynamics, and statistics.

Primary topic: Advanced Statistical Methods and Models (26%)

OpenAlex ID: keywords/influence-function

The Jackknife, the Bootstrap and Other Resampling Plans

1982 · Bradley Efron · Society for Industrial and Applied Mathematics eBooks · 8,122

Robust Statistics

1981 · Peter J. Huber · Wiley series in probability and statistics · 7,065

Robust Regression and Outlier Detection

1987 · Peter J. Rousseeuw, Annick M. Leroy · Wiley series in probability and statistics · 5,586

Robust Statistics: The Approach Based on Influence Functions

1987 · David Ruppert, F. R. Hampel, et al. · Technometrics · 3,880

Estimation of Regression Coefficients When Some Regressors Are Not Always Observed

1994 · James M. Robins, Andrea Rotnitzky, et al. · Journal of the American Statistical Association · 2,830

The Influence Curve and Its Role in Robust Estimation

1974 · Frank R. Hampel · Journal of the American Statistical Association · 2,721

Unconditional Quantile Regressions

2009 · Sergio Firpo, Nicole M. Fortin, et al. · Econometrica · 2,254

Alternatives to the Median Absolute Deviation

1993 · Peter J. Rousseeuw, Christophe Croux · Journal of the American Statistical Association · 2,014

Residuals and Influence in Regression.

1983 · A. C. Atkinson, R. D. Cook, et al. · Biometrics · 1,904

Robust Statistics: The Approach Based on Influence Functions.

1987 · C. Jennison, F. R. Hampel, et al. · Journal of the Royal Statistical Society Series A (General) · 1,753

Robust Statistics

2009 · Peter J. Huber, Elvezio M. Ronchetti · Wiley series in probability and statistics · 1,723

Robust Statistics

2006 · Ricardo A. Maronna, R. Douglas Martin, et al. · Wiley series in probability and statistics · 1,680

Understanding Black-box Predictions via Influence Functions

2017 · Koh, Pang Wei, Liang, Percy · arXiv (Cornell University) · 1,513

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Alternatives to the Median Absolute Deviation

1993 · Peter J. Rousseeuw, Christophe Croux · Journal of the American Statistical Association · 1,466

Nonparametric Estimates of Standard Error: The Jackknife, the Bootstrap and Other Methods

1981 · BRADLEY EFRON · Biometrika · 1,386

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

2016 · Yunjin Chen, Thomas Pock · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,342

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Robust anisotropic diffusion

1998 · M.J. Black, G. Sapiro, et al. · IEEE Transactions on Image Processing · 1,295

An efficient approach to clustering in large multimedia databases with noise

1998 · Alexander Hinneburg, Daniel A. Keim · KOPS (University of Konstanz) · 1,181

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Transformation and Weighting in Regression.

1990 · Peter A. Lachenbruch, Raymond J. Carroll, et al. · Journal of the American Statistical Association · 1,132

Robust $M$-Estimators of Multivariate Location and Scatter

1976 · Ricardo Antonio Maronna · The Annals of Statistics · 952

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Computers and the Theory of Statistics: Thinking the Unthinkable

1979 · Bradley Efron · SIAM Review · 880

Interpretation of Neural Networks Is Fragile

2019 · Amirata Ghorbani, Abubakar Abid, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 760

Understanding and controlling software costs

1988 · B.W. Boehm, P.N. Papaccio · IEEE Transactions on Software Engineering · 667

The 1972 Wald Lecture Robust Statistics: A Review

1972 · Peter J. Huber · The Annals of Mathematical Statistics · 649

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Influence functions of the Spearman and Kendall correlation measures

2010 · Christophe Croux, Catherine Dehon · Statistical Methods & Applications · 627

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Works count: 4,394

Citation count: 114,800