Selected article for: "posterior distribution and prior distribution"

Author: Pei, Sen; Morone, Flaviano; Liljeros, Fredrik; Makse, Hernán; Shaman, Jeffrey L
Title: Inference and control of the nosocomial transmission of methicillin-resistant Staphylococcus aureus
  • Document date: 2018_12_18
  • ID: 0dut9fjn_68
    Snippet: Here x i t;post and x i t;prior are the posterior and prior of the unobserved variable or parameter for the i th ensemble member at time t; and sðfx t;prior g n ; fo t;prior g n Þ is the covariance between the prior of the unobserved variable or parameter fx t;prior g n and the prior of the observed variable fo t;prior g n at time t. In the EAKF, variables and parameters are updated deterministically so that the higher moments of the prior dist.....
    Document: Here x i t;post and x i t;prior are the posterior and prior of the unobserved variable or parameter for the i th ensemble member at time t; and sðfx t;prior g n ; fo t;prior g n Þ is the covariance between the prior of the unobserved variable or parameter fx t;prior g n and the prior of the observed variable fo t;prior g n at time t. In the EAKF, variables and parameters are updated deterministically so that the higher moments of the prior distribution are preserved in the posterior.

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