Selected article for: "continuous time model and exponential continuous time"
Author: Lorenzo Pellis; Francesca Scarabel; Helena B Stage; Christopher E Overton; Lauren H K Chappell; Katrina A Lythgoe; Elizabeth Fearon; Emma Bennett; Jacob Curran-Sebastian; Rajenki Das; Martyn Fyles; Hugo Lewkowicz; Xiaoxi Pang; Bindu Vekaria; Luke Webb; Thomas A House; Ian Hall
Title: Challenges in control of Covid-19: short doubling time and long delay to effect of interventions
  • Document date: 2020_4_15
    • ID: k5q07y4b_46
    Snippet: where y = (y(t)) t∈T . This can then be viewed as a generalised linear model (GLM) with time as a continuous covariate, intercept ln(y 0 ), slope r, exponential link function and negative binomial noise model [47 ] . We can perform inference through numerical maximum likelihood estimation (MLE) and calculate confidence intervals using the Laplace approximation [48 ] ......
    Document: where y = (y(t)) t∈T . This can then be viewed as a generalised linear model (GLM) with time as a continuous covariate, intercept ln(y 0 ), slope r, exponential link function and negative binomial noise model [47 ] . We can perform inference through numerical maximum likelihood estimation (MLE) and calculate confidence intervals using the Laplace approximation [48 ] .

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