Selected article for: "coe cient and state level"

Author: Casey M Zipfel; Shweta Bansal
Title: Assessing the interactions between COVID-19 and influenza in the United States
  • Document date: 2020_4_1
  • ID: f3ds1rq6_16
    Snippet: where 0 is the intercept, j represents coe cient estimates for social and biological covariates, µ s represents a state-level group e↵ects, and u t is a temporal autocorrelation random walk order 2 e↵ect, with the structure u t u t 2 ⇠ N (0, ⌧ u ). We also developed aspatial models for individual state data to identify if there is any spatial heterogeneity in the temporal processes......
    Document: where 0 is the intercept, j represents coe cient estimates for social and biological covariates, µ s represents a state-level group e↵ects, and u t is a temporal autocorrelation random walk order 2 e↵ect, with the structure u t u t 2 ⇠ N (0, ⌧ u ). We also developed aspatial models for individual state data to identify if there is any spatial heterogeneity in the temporal processes.

    Search related documents:
    Co phrase search for related documents
    • spatial heterogeneity and state level: 1, 2, 3, 4, 5, 6, 7
    • spatial heterogeneity and temporal process: 1
    • spatial heterogeneity and temporal process spatial heterogeneity: 1
    • state level and temporal process: 1