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Jan A. Gasthaus · Study
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Author
Jan A. Gasthaus
8 works
· latest 2022
· 2 institutions
cluster: provisional
ORCID 0000-0002-2007-773X
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Most cited in this library
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
2019 · 2,726 citations
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
2022 · 380 citations
Criteria for classifying forecasting methods
2019 · 210 citations
Probabilistic demand forecasting at scale
2017 · 126 citations
Forecasting with trees
2021 · 117 citations
Works
8 shown
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
ACM Computing Surveys
·
2022
·
13 authors
·
Open access
380
citations
Forecasting with trees
International Journal of Forecasting
·
2021
·
5 authors
·
Open access
117
citations
Neural forecasting: Introduction and literature overview.
arXiv (Cornell University)
·
2020
·
12 authors
·
preprint
·
Open access
68
citations
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
International Journal of Forecasting
·
2019
·
3 authors
·
Open access
2,726
citations
Criteria for classifying forecasting methods
International Journal of Forecasting
·
2019
·
7 authors
·
Open access
210
citations
Classical and Contemporary Approaches to Big Time Series Forecasting
ACM SIGMOD International Conference on Management of Data (SIGMOD)
·
2019
·
4 authors
·
other
37
citations
Probabilistic Forecasting with Spline Quantile Function RNNs
·
2019
·
6 authors
94
citations
Probabilistic demand forecasting at scale
Proceedings of the VLDB Endowment
·
2017
·
8 authors
126
citations