Robust Generalized Linear Models
Robust Generalized Linear Models is a class of statistical models that extends generalized linear models by incorporating methods resistant to outliers and violations of distributional assumptions, thereby providing reliable parameter estimation and inference under model misspecification or contaminated data.
61
Publications
3.4K
Citations
120
Authors
94
Institutions
Publications per year
2017–2026
10
Variants
Robust Glms
61
1–5 of 61
120
4
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 120
94

Carleton University
Ottawa, Canada
3 h-index
3 publications
47 citations

Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
3 h-index
5 publications
142 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
130 citations
Universidad de Buenos Aires
Buenos Aires, Argentina
3 h-index
6 publications
202 citations
University of Geneva
Geneva, Switzerland
3 h-index
3 publications
464 citations
Fundación Ciencias Exactas y Naturales
Buenos Aires, Argentina
3 h-index
6 publications
140 citations
Harvard University
Cambridge, United States
2 h-index
5 publications
205 citations
Brock University
Saint Catharines, Canada
2 h-index
2 publications
33 citations
1–8 of 94
5 publications · 601 citations
5
h-index
4 publications · 99 citations
4
h-index
4 publications · 248 citations
4
h-index
4 publications · 178 citations
4
h-index
4 publications · 176 citations
4
h-index
1–5