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 W-D, 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 -