Correlation analysis for long time series by robustly estimated autoregressive stochastic processes

Research output: Contribution to conferenceSlides to presentationResearch

Authors

  • Wolf-Dieter Schuh
  • Jan Martin Brockmann
  • Boris Kargoll

Research Organisations

External Research Organisations

  • University of Bonn
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Details

Original languageEnglish
Publication statusPublished - 2015
EventEGU General Assembly 2015 - Wien, Austria
Duration: 12 Apr 201517 Apr 2015

Conference

ConferenceEGU General Assembly 2015
Country/TerritoryAustria
CityWien
Period12 Apr 201517 Apr 2015

Cite this

Correlation analysis for long time series by robustly estimated autoregressive stochastic processes. / Schuh, Wolf-Dieter; Brockmann, Jan Martin; Kargoll, Boris.
2015. EGU General Assembly 2015, Wien, Austria.

Research output: Contribution to conferenceSlides to presentationResearch

Schuh, W-D, Brockmann, JM & Kargoll, B 2015, 'Correlation analysis for long time series by robustly estimated autoregressive stochastic processes', EGU General Assembly 2015, Wien, Austria, 12 Apr 2015 - 17 Apr 2015.
Schuh, W.-D., Brockmann, J. M., & Kargoll, B. (2015). Correlation analysis for long time series by robustly estimated autoregressive stochastic processes. EGU General Assembly 2015, Wien, Austria.
Schuh WD, Brockmann JM, Kargoll B. Correlation analysis for long time series by robustly estimated autoregressive stochastic processes. 2015. EGU General Assembly 2015, Wien, Austria.
Schuh, Wolf-Dieter ; Brockmann, Jan Martin ; Kargoll, Boris. / Correlation analysis for long time series by robustly estimated autoregressive stochastic processes. EGU General Assembly 2015, Wien, Austria.
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title = "Correlation analysis for long time series by robustly estimated autoregressive stochastic processes",
author = "Wolf-Dieter Schuh and Brockmann, {Jan Martin} and Boris Kargoll",
year = "2015",
language = "English",
note = "EGU General Assembly 2015 ; Conference date: 12-04-2015 Through 17-04-2015",

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Download

TY - CONF

T1 - Correlation analysis for long time series by robustly estimated autoregressive stochastic processes

AU - Schuh, Wolf-Dieter

AU - Brockmann, Jan Martin

AU - Kargoll, Boris

PY - 2015

Y1 - 2015

M3 - Slides to presentation

T2 - EGU General Assembly 2015

Y2 - 12 April 2015 through 17 April 2015

ER -