Selected article for: "model estimate and parameter estimate"
Author: Ralf Engbert; Maximilian M. Rabe; Reinhold Kliegl; Sebastian Reich
Title: Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics
  • Document date: 2020_4_17
    • ID: 855am0mv_5
    Snippet: The key motivation of the current study was to apply sequential data assimilation of the stochastic SEIR model to estimate the contact parameter. Using simulated data, we successfully applied an ensemble Kalman filter [11, 20] for recovery of the contact parameter from data (see Parameter recovery from simulated data). When applied to empirical data on the level of a region, the estimation of the contact parameter produces a comparable evidence p.....
    Document: The key motivation of the current study was to apply sequential data assimilation of the stochastic SEIR model to estimate the contact parameter. Using simulated data, we successfully applied an ensemble Kalman filter [11, 20] for recovery of the contact parameter from data (see Parameter recovery from simulated data). When applied to empirical data on the level of a region, the estimation of the contact parameter produces a comparable evidence profile (see Application to empirical data).

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