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- id: DingModel2018
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- id: FruhwirthSchnatterBayesian
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- id: FruhwirthSchnatterFinite2006
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- id: FruhwirthSchnatterModelbased2010
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- id: GerstenbergerRealtime2005
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- id: HerzenDarts2022
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- id: HosseiniFlexible2021
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- id: HuertaDiscussion2001
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- id: HuertaTime2003
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  collection-title: Forecasting Long Memory Processes
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- id: HyndmanBrief2020
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  collection-title: M4 Competition
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  DOI: 10.1016/j.ijforecast.2019.03.015
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  language: en
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  title: "A brief history of forecasting\_competitions"
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- id: JacobsAdapting2011
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- id: KurniasihKnowledge
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  citation-key: KurniasihKnowledge
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  language: en
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    Knowledge Management of Agricultural Prophecy in the Manuscript of Sundanese
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- id: KuznetsovForecasting2014
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  citation-key: KuznetsovForecasting2014
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  title: 'Forecasting Non-Stationary Time Series: From Theory to Algorithms'
  type: article-journal
  URL: http://www.cims.nyu.edu/~munoz/multitask/Paper_22_fts.pdf

- id: KuznetsovLearning2015
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  citation-key: KuznetsovLearning2015
  container-title: Advances in Neural Information Processing Systems
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  publisher: Curran Associates, Inc.
  title: Learning Theory and Algorithms for Forecasting Non-Stationary Time Series
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- id: LundeBootstrapping2017
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      day: 1
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      month: 11
      day: 8
  title: Bootstrapping Generalization Error Bounds for Time Series
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- id: LundeSample2019
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  title: Sample Splitting and Weak Assumption Inference For Time Series
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- id: MakridakisM42020
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...
