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researcher

Ayla Jungbluth

2 papers hereh-index 14 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedThe DeepCAR Method: Forecasting Time-Series Data That Have Change Points

4 citations · 4 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023★ 4 cited

The DeepCAR Method: Forecasting Time-Series Data That Have Change Points

Ayla Jungbluth, Johannes Lederer

Many methods for time-series forecasting are known in classical statistics, such as autoregression, moving averages, and exponential smoothing. The DeepAR framework is a novel, rec…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.