"GluonTS: Probabilistic and Neural Time Series Modeling in Python."

Alexander Alexandrov et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Journal Article

metadata version: 2024-09-11

- view
  - electronic edition @ jmlr.org (open access)
- export record
  dblp key:
  - journals/jmlr/0003BBFGJMRSSST20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/0003BBFGJMRSSST20
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang:
GluonTS: Probabilistic and Neural Time Series Modeling in Python. J. Mach. Learn. Res. 21: 116:1-116:6 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.