Long-lead term precipitation forecasting by Hierarchical Clustering-based Bayesian Structural Vector Autoregression

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467399753
DOIs
StatePublished - May 25 2016
Event13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016 - Mexico City, Mexico
Duration: Apr 28 2016Apr 30 2016

Publication series

NameICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control

Conference

Conference13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016
Country/TerritoryMexico
CityMexico City
Period4/28/164/30/16

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Modeling and Simulation

Keywords

  • Bayesian Structural Vector Autoregression
  • Heavy Precipitation Forecasting
  • Hierarchical Clustering
  • Single-Link

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