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Theorie
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Hyndman, Rob J.
79
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22
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13
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7
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6
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6
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5
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5
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4
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4
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3
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3
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3
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3
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2
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ECONIS (ZBW)
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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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2
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
Saved in:
3
Coherent probabilistic forecasts for hierarchical time series
Ben Taieb, Souhaib
;
Taylor, James W.
;
Hyndman, Rob J.
-
2017
Persistent link: https://www.econbiz.de/10011781966
Saved in:
4
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
Saved in:
5
Forecasting : theory and practice
Petropoulos, Fotios
;
Apiletti, Daniele
;
Assimakopoulos, V.
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 705-871
Persistent link: https://www.econbiz.de/10013349395
Saved in:
6
The interaction between trend and seasonality
Hyndman, Rob J.
- In:
International journal of forecasting
20
(
2004
)
4
,
pp. 561-563
Persistent link: https://www.econbiz.de/10002433857
Saved in:
7
[Rezension von: Pagan, A., ..., Nonparametric econometrics]
Hyndman, Rob J.
- In:
The economic record : er
76
(
2000
),
pp. 309-311
Persistent link: https://www.econbiz.de/10001518273
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8
Highest-density forecast regions for non-linear and non-normal time series models
Hyndman, Rob J.
- In:
Journal of forecasting
14
(
1995
)
5
,
pp. 431-441
Persistent link: https://www.econbiz.de/10001188614
Saved in:
9
A brief history of forecasting competitions
Hyndman, Rob J.
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 7-14
Persistent link: https://www.econbiz.de/10012405521
Saved in:
10
Forecasting, causality and feedback
Hyndman, Rob J.
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 558-560
Persistent link: https://www.econbiz.de/10014465060
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