Selected article for: "previous time step and time step"

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_39
    Snippet: Given the parameter vector, z ¼ ðb; I 0 ; C 0 Þ T , the IF-EAKF algorithm proceeds per the pseudo-code in Algorithm 1. During the EAKF update, only the parameters b, I 0 and C 0 were adjusted; the microscopic state (S, C or P) in each ensemble member was set as the state at the end of previous time step and was not adjusted. Detailed explanation of the IF-EAKF system is provided in Appendix 1......
    Document: Given the parameter vector, z ¼ ðb; I 0 ; C 0 Þ T , the IF-EAKF algorithm proceeds per the pseudo-code in Algorithm 1. During the EAKF update, only the parameters b, I 0 and C 0 were adjusted; the microscopic state (S, C or P) in each ensemble member was set as the state at the end of previous time step and was not adjusted. Detailed explanation of the IF-EAKF system is provided in Appendix 1.

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