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~isPartOf:"Tinbergen Institute Discussion Paper"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Ben Taieb, Souhaib"
~subject:"Neue politische Ökonomie"
~subject:"Zeitreihenanalyse"
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Neue politische Ökonomie
Zeitreihenanalyse
Forecasting model
3
Prognoseverfahren
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Theory
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Time series analysis
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ARMA model
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Energieeinsparung
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Energy consumption
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Energy forecast
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Multivariate Verteilung
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Probabilistic forecasting
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Probability theory
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copula
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electricity
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energy
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forecast combination
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machine learning
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probabilistic forecast
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smart meters
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Ben Taieb, Souhaib
Hyndman, Rob J.
27
Athanasopoulos, George
15
Gao, Jiti
13
Martin, Gael M.
13
Snyder, Ralph D.
13
Koopman, Siem Jan
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Poskitt, Donald Stephen
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Bos, Charles S.
7
Koehler, Anne B.
7
Ord, John Keith
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Lucas, Andre
6
Steffen, Frank
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Swank, Otto H.
6
van Dijk, Herman K.
6
Blasques, Francisco
5
Forbes, Catherine Scipione
5
van den Brink, René
5
Grose, Simone D.
4
Maharaj, Elizabeth Ann
4
Ooms, Marius
4
Panagiotelis, Anastasios
4
Rusinowska, Agnieszka
4
Shami, Roland G.
4
Smith-Miles, Kate
4
Casarin, Roberto
3
Diks, Cees
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Franses, Philip Hans
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Frazier, David T.
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Inder, Brett A.
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Kang, Yanfei
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King, Maxwell L.
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Kourentzes, Nikolaos
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Liu, Fei
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McCabe, Brendan Peter Martin
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Pan, Guangming
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Peng, Bin
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Tinbergen Institute Discussion Paper
Working paper / Department of Econometrics and Business Statistics, Monash University
International journal of forecasting
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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
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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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