Forecast Explainability is a methodological contribution in causal forecasting that distinguishes itself by enabling the transparent articulation of how input variables and causal mechanisms contribute to the generation of forecasted outcomes.
109
Publications
5.2K
Citations
230
Authors
134
Institutions
Publications per year
2017–2026
36
Variants
Explainable Forecasting
Parents
Publications
109
Shapley additive explanations for NO2 forecasting
María Vega García, Jose L Aznarte · Ecological Informatics · 2019 · 335 citations
Data Revisions Are Not Well Behaved
S. Borağan Aruoba · Journal of money credit and banking · 2008 · 244 citations
1–5 of 109
Authors
230
- JS
3
h-index
- DÖ
3
h-index
- DF
3
h-index
- JC
3
h-index
- MP
3
h-index
1–5 of 230
Institutions
134
International Monetary Fund
Washington D.C., United States
4 h-index
6 publications
541 citations
National Bureau of Economic Research
Cambridge, United States
4 h-index
8 publications
622 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
4 publications
312 citations
University of Bath
Bath, United Kingdom
3 h-index
5 publications
66 citations
Harvard University Press
Cambridge, United States
3 h-index
5 publications
397 citations
Colorado State University
Fort Collins, United States
3 h-index
6 publications
246 citations
Bilkent University
Ankara, Türkiye
3 h-index
4 publications
87 citations
University of Maryland, College Park
College Park, United States
2 h-index
3 publications
270 citations
1–8 of 134
Venues
- International Journal of Forecasting
13 publications · 541 citations
11
h-index
- SSRN Electronic Journal
Repository · 5 publications · 98 citations
6
h-index
- RePEc: Research Papers in Economics
Repository · 4 publications · 203 citations
4
h-index
- Expert Systems with Applications
3 publications · 100 citations
3
h-index
- Technological Forecasting and Social Change
3 publications · 97 citations
3
h-index
1–5