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Statistisches Bundesamt

Germany

5 papers here176 citations across 5
fields
  • stat.ML2
  • cs.CV1
  • stat.AP1
  • stat.ME1
ROR 01kratx56OpenAlex

affiliations via OpenAlex

output
20202025
most citedDeep Learning for Survival Analysis: A Review

170 citations

researchers with a paper here
  • Andreas Bender3 profiles3 · h 17
  • Simon Wiegrebe2 · h 5
  • Andr'es Romero1 · h 2
  • Clara Schartner1 · h 1
  • Florian Dumpert1 · h 5
  • Florian Meinfelder1 · h 4
  • Jakob Schwerter1 · h 4
  • Johannes Piller1 · h 0
  • J. Schaller1 · h 2
  • J. Zobolas1 · h 5
  • K. Strauch1 · h 2
  • L. Curier1 · h 9
collaborating institutions
  • Ludwig-Maximilians-Universität MünchenDE2 papers
  • University of RegensburgDE2 papers
  • Centraal Bureau voor de StatistiekNL1 paper
  • Imperial College LondonGB1 paper
  • InsermFR1 paper
  • La Ligue Contre le CancerFR1 paper
  • Leibniz Institute for Prevention Research and Epidemiology - BIPSDE1 paper
  • LMU KlinikumDE1 paper
  • Munich Center for Machine Learning1 paper
  • Munich School of PhilosophyDE1 paper
  • Open University of the NetherlandsNL1 paper
  • Oslo University HospitalNO1 paper
Showing 2020 · stat.MEShow all

1 paper · 2 filters

stat.ME2020

Data Fusion for Joining Income and Consumption Information Using Different Donor-Recipient Distance Metrics

Florian Meinfelder, Jannik Schaller

Data fusion describes the method of combining data from (at least) two initially independent data sources to allow for joint analysis of variables which are not jointly observed. T…

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