Influence Function Analysis
Influence Function Analysis is a statistical method that quantifies the effect of infinitesimal perturbations in the data distribution on an estimator's output, serving to assess the robustness and sensitivity of the estimator to individual observations.
334
Publications
32.2K
Citations
730
Authors
355
Institutions
Publications per year
2017–2026
103
Variants
Influence Curve Analysis
Parents
334
Robust Statistics: The Approach Based on Influence Functions
David Ruppert, Frank R. Hampel, Elvezio Ronchetti et al. · Technometrics · 1987 · 3.8K citations
Unconditional Quantile Regressions
Sérgio Firpo, Nicole M. Fortin, Thomas Lemieux · Econometrica · 2009 · 2.2K citations
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355
Nanyang Technological University
Singapore, Singapore
8 h-index
14 publications
454 citations
Stanford University
Stanford, United States
8 h-index
12 publications
5.5K citations

Harbin Institute of Technology
Harbin, China
7 h-index
32 publications
602 citations

Indian Statistical Institute
Kolkata, India
7 h-index
10 publications
165 citations
Xiamen University
Xiamen, China
6 h-index
18 publications
742 citations
National University of Singapore
Singapore, Singapore
6 h-index
13 publications
406 citations
KU Leuven
Leuven, Belgium
6 h-index
11 publications
365 citations
University of Antwerp
Antwerp, Belgium
6 h-index
12 publications
8.2K citations
1–8 of 355
23 publications · 7.6K citations
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Repository · 14 publications · 1.7K citations
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9 publications · 476 citations
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9 publications · 296 citations
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6 publications · 330 citations
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