"Modelling and understanding count processes through a Markov-modulated ..."

Benjamin Avanzi et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.EJOR.2020.07.022

access: closed

type: Journal Article

metadata version: 2021-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eor/AvanziTWX21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eor/AvanziTWX21
Benjamin Avanzi, Greg Taylor, Bernard Wong, Alan Xian:
Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework. Eur. J. Oper. Res. 290(1): 177-195 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.