"A Hierarchical Bayesian Mixture Model Approach for Analysis of ..."

Tetiana Gorbach et al. (2020)

> Home

Details and statistics

DOI: 10.1089/BRAIN.2020.0740

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/brain/GorbachLLNS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/brain/GorbachLLNS20
Tetiana Gorbach, Anders Lundquist, Xavier de Luna, Lars Nyberg, Alireza Salami:
A Hierarchical Bayesian Mixture Model Approach for Analysis of Resting-State Functional Brain Connectivity: An Alternative to Thresholding. Brain Connect. 10(5): 202-211 (2020)

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.