Selected article for: "model prediction and prediction affect"
Author: Yuan Zhang; Chong You; Zhenghao Cai; Jiarui Sun; Wenjie Hu; Xiao-Hua Zhou
Title: Prediction of the COVID-19 outbreak based on a realistic stochastic model
  • Document date: 2020_3_13
    • ID: 0xzsa21a_76
    Snippet: the population of permanent residents in the city or province, E q (0) is set to be zero as there was no quarantine implemented before January 23, 2020 and R N (0) can be set to any number as it would not affect the estimation and prediction of the model. However, the choices for initial values, IN (0) and E(0), is also non-observable and could be a challenge to determine apriori . In this study, IN (0) and E(0) are treated as unknown parameters .....
    Document: the population of permanent residents in the city or province, E q (0) is set to be zero as there was no quarantine implemented before January 23, 2020 and R N (0) can be set to any number as it would not affect the estimation and prediction of the model. However, the choices for initial values, IN (0) and E(0), is also non-observable and could be a challenge to determine apriori . In this study, IN (0) and E(0) are treated as unknown parameters and to be estimated together with other model parameters as described below.

    Search related documents:
    Co phrase search for related documents
    • initial value and prediction estimation: 1
    • initial value and province city: 1, 2
    • initial value and unknown parameter: 1
    • model parameter and number set: 1, 2, 3, 4
    • model parameter and province city: 1
    • model parameter and unknown parameter: 1, 2, 3, 4, 5
    • model prediction estimation and prediction estimation: 1, 2, 3, 4, 5