Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with
  complete and accurate observations   Concurrent observation technologies have made high-precision real-time data
available in large quantities. Data assimilation (DA) is concerned with how to
combine this data with physical models to produce accurate predictions. For
spatial-temporal models, the Ensemble Kalman Filter with proper localization
techniques is considered to be a state-of-the-art DA methodology. This article
proposes and investigates a localized Ensemble Kalman Bucy Filter (l-EnKBF) for
nonlinear models with short-range interactions. We derive dimension-independent
and component-wise error bounds and show the long time path-wise error only has
logarithmic dependence on the time range. The theoretical results are verified
through some simple numerical tests.

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The categories of this paper are: astro-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: eess
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The categories of this paper are: chao-dyn
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The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: solv-int
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The categories of this paper are: econ
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The categories of this paper are: hep-lat
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: physics
37
The categories of this paper are: supr-con