Selected article for: "cc NC ND International license and variance covariance"
Author: Svetoslav Bliznashki
Title: A Bayesian Logistic Growth Model for the Spread of COVID-19 in New York
  • Document date: 2020_4_7
    • ID: lhv83zac_26
    Snippet: We used the same weighing scheme as above and introduced the two new parameters (scale and df) describing the t-distribution governing the model's errors. We again proposed the first four parameters of the model (i.e. K, A, r, scale) by a multivariate normal distribution centered on the previous values of the chain with scaled variance-covariance matrix estimated from pilot chains; the df parameter was proposed separately based on a lognormal . C.....
    Document: We used the same weighing scheme as above and introduced the two new parameters (scale and df) describing the t-distribution governing the model's errors. We again proposed the first four parameters of the model (i.e. K, A, r, scale) by a multivariate normal distribution centered on the previous values of the chain with scaled variance-covariance matrix estimated from pilot chains; the df parameter was proposed separately based on a lognormal . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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