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Conditionally dependent strategies for multiple-step-ahead prediction in local learning
Bontempi, Gianluca
;
Ben Taieb, Souhaib
- In:
International journal of forecasting
27
(
2011
)
3
,
pp. 689-699
Persistent link: https://www.econbiz.de/10009248228
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2
Machine learning strategies for time series forecasting
Bontempi, Gianluca
;
Ben Taieb, Souhaib
;
Borgne, Yann-Aël Le
- In:
Business intelligence : Second European Summer School, …
,
(pp. 62-77)
.
2013
Persistent link: https://www.econbiz.de/10009731445
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3
Comments on M4 competition
Bontempi, Gianluca
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 201-202
Persistent link: https://www.econbiz.de/10012406253
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4
A gradient boosting approach to the Kaggle load forecasting competition
Ben Taieb, Souhaib
;
Hyndman, Rob J.
- In:
International journal of forecasting
30
(
2014
)
2
,
pp. 382-394
Persistent link: https://www.econbiz.de/10010510897
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5
Recursive and direct multi-step forecasting : the best of both worlds
Ben Taieb, Souhaib
;
Hyndman, Rob J.
-
2012
Persistent link: https://www.econbiz.de/10009625665
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6
Boosting multi-step autoregressive forecasts
Ben Taieb, Souhaib
;
Hyndman, Rob J.
-
2014
Persistent link: https://www.econbiz.de/10010349977
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7
Nonlinear mixed effects models for time series forecasting of smart meter demand
Roach, Cameron
;
Hyndman, Rob J.
;
Ben Taieb, Souhaib
-
2020
Persistent link: https://www.econbiz.de/10012610883
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8
Probabilistic time series forecasting with boosted additive models : an application to smart meter data
Ben Taieb, Souhaib
;
Huser, Raphael
;
Hyndman, Rob J.
; …
-
2015
Persistent link: https://www.econbiz.de/10011781252
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9
Coherent probabilistic forecasts for hierarchical time series
Ben Taieb, Souhaib
;
Taylor, James W.
;
Hyndman, Rob J.
-
2017
Persistent link: https://www.econbiz.de/10011781966
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10
Commentary on "Transparent modelling of influenza incidence" : on big data models for infectious disease forecasting
Ben Taieb, Souhaib
;
Taylor, Kathryn S.
- In:
International journal of forecasting
38
(
2022
)
2
,
pp. 625-627
Persistent link: https://www.econbiz.de/10013348682
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