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
- ^ "Angelika van der Linde-Ploumbidis - The Mathematics Genealogy Project". www.genealogy.math.ndsu.nodak.edu. Retrieved 18 October 2021.
- ^ Linde-Ploumbidis, Angelika (1982). Zur numerischen Behandlung von Versuchsplanungsproblemen für lineare Regressionsmodelle mit korrelierten Beobachtungen (Thesis). Berlin.
- ^ 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.
- ^ Angelika van der Linde (6 February 2012). "A Bayesian view of model complexity" (PDF). Statistica Neerlandica. 66 (3): 253–271. doi: 10.1111/J.1467-9574.2011.00518.X. ISSN 0039-0402. Wikidata Q108929405.
- ^ 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.
- ^ 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
- ^ "zbMATH Open - the first resource for mathematics: Angelika van der Linde". zbmath.org. Retrieved 18 October 2021.
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| Academics | |
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
- ^ "Angelika van der Linde-Ploumbidis - The Mathematics Genealogy Project". www.genealogy.math.ndsu.nodak.edu. Retrieved 18 October 2021.
- ^ Linde-Ploumbidis, Angelika (1982). Zur numerischen Behandlung von Versuchsplanungsproblemen für lineare Regressionsmodelle mit korrelierten Beobachtungen (Thesis). Berlin.
- ^ 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.
- ^ Angelika van der Linde (6 February 2012). "A Bayesian view of model complexity" (PDF). Statistica Neerlandica. 66 (3): 253–271. doi: 10.1111/J.1467-9574.2011.00518.X. ISSN 0039-0402. Wikidata Q108929405.
- ^ 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.
- ^ 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
- ^ "zbMATH Open - the first resource for mathematics: Angelika van der Linde". zbmath.org. Retrieved 18 October 2021.
| International | |
|---|---|
| Academics | |