Time series of counts under censoring: a bayesian approach

HIGHLIGHTS

• who: Isabel Silva et al. from the Universidade do, School of Management, University of Liverpool, Liverpool , BX, UK have published the paper: Time Series of Counts under Censoring: A Bayesian Approach, in the Journal: Entropy 2023, 25, 549. of /2023/
• what: The aim of this work is to contribute to the modelling of time series of counts under censoring using convolution closed infinitely divisible (CCID) models. The authors investigate two natural approaches to analyse censored convolution closed infinitely divisible models of first order, CCID(1), using the Bayesian framework: the Approximate Bayesian Computation (ABC) methodology . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.