Angelika_van_der_Linde

Angelika van der Linde

Angelika van der Linde

German statistician


Angelika van der Linde-Ploumbidis (Angelika van der Linde) is a statistician. She earned a Ph.D in 1982 or 1983 at the Freie Universität Berlin with the dissertation Zur numerischen Behandlung von Versuchsplanungsproblemen für lineare Regressionsmodelle mit korrelierten Beobachtungen .[1][2]

In addition to her influential work in Bayesian statistical theory,[3][4][5] she works in numerical analysis,[6] probability theory and stochastic processes, geophysics and systems theory.[7]


References

  1. "Angelika van der Linde-Ploumbidis - The Mathematics Genealogy Project". www.genealogy.math.ndsu.nodak.edu. Retrieved 18 October 2021.
  2. David J. Spiegelhalter; Nicola G. Best; Bradley P. Carlin; Angelika van der Linde (8 April 2014). "The deviance information criterion: 12 years on". Journal of the Royal Statistical Society Series B: Statistical Methodology. 76 (3): 485–493. doi:10.1111/RSSB.12062. ISSN 1369-7412. Zbl 1411.62027. Wikidata Q108929214.
  3. David J. Spiegelhalter; Nicola G. Best; Bradley P. Carlin; Angelika van der Linde (October 2002). "Bayesian measures of model complexity and fit". Journal of the Royal Statistical Society Series B: Statistical Methodology. 64 (4): 583–639. doi:10.1111/1467-9868.00353. ISSN 1369-7412. Zbl 1067.62010. Wikidata Q56532420.
  4. Angelika van der Linde (1996), The Invariance of Statistical Analyses with Smoothing Splines with Respect to the Inner Product in the Reproducing Kernel Hilbert Space, pp. 149–164, doi:10.1007/978-3-642-48425-4_12, Wikidata Q108931033

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