Functional Forecasting
Functional Forecasting is a statistical prediction methodology that extends scalar and multivariate time series forecasting to the domain of infinite-dimensional functional data, where observations are trajectories or curves over a continuum, enabling the modeling and forecasting of entire functions as units rather than discrete points.
57
Publications
2.7K
Citations
101
Authors
72
Institutions
Publications per year
2017–2026
19
57
Forecasting functional time series
Rob J. Hyndman, Han Lin Shang · Journal of the Korean Statistical Society · 2009 · 184 citations
1–5 of 57
101
12
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 101
72

Australian National University
Canberra, Australia
9 h-index
12 publications
487 citations

Universidad de Granada
Granada, Spain
3 h-index
9 publications
228 citations
University of Virginia
Charlottesville, United States
3 h-index
5 publications
195 citations

City, University of London
London, United Kingdom
3 h-index
3 publications
54 citations

Monash University
Melbourne, Australia
3 h-index
4 publications
504 citations
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
458 citations
Queen's University Belfast
Belfast, United Kingdom
2 h-index
2 publications
34 citations
University of Southampton
Southampton, United Kingdom
2 h-index
4 publications
124 citations
1–8 of 72
AOAS · 4 publications · 270 citations
4
h-index
2 publications · 71 citations
2
h-index
2 publications · 88 citations
2
h-index
2 publications · 94 citations
2
h-index
2 publications · 142 citations
2
h-index
1–5