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Bisschop Rudolf Staverman (1915-1990) : een biografie.
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ISBN: 9070504421 Year: 1994 Publisher: Nijmegen Katholiek Documentatie Centrum

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An Ensemble Smoother with Error Estimates
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Year: 2001 Publisher: S.l. American Meteorological Society

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De algemene deelname aan het profetisch ambt van Christus.
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Year: 1966 Publisher: Antwerpen : Patmos,

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Heil en wereld in Vaticanum II.
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Year: 1967 Publisher: Roermond : Romen,

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Woorden van heil van een kleine mens : commentaar op de Vermaningen van Franciscus van Assisi. Commentaar op De echte vreugde
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ISBN: 9071115038 Year: 1986 Publisher: Utrecht Werkgroep K.750


Dissertation
Relaxation of phosphorescent spin quartet states in calcium oxide
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Year: 1988 Publisher: Amsterdam : s.n.,

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Data Assimilation and Inverse Methods in Terms of Probabilistic Formulation
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Year: 1996 Publisher: S.l. American Meteorological Society

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Assimilation of Geosat Altimeter Data for the Agulhas Current Using the Ensemble Kalman Filter with a Quasigeostrophic Model
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Year: 1996 Publisher: S.l. American Meteorological Society

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An Ensemble Kalman Smoother for Nonlinear Dynamics
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Year: 2000 Publisher: S.l. American Meteorological Society

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Nonlinear data assimilation
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ISBN: 9783319183473 331918346X 9783319183466 3319183478 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.

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