"Massive Parallelization Boosts Big Bayesian Multidimensional Scaling."

Andrew J. Holbrook et al. (2021)

> Home

Details and statistics

DOI: 10.1080/10618600.2020.1754226

access: closed

type: Journal Article

metadata version: 2022-05-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcgs/HolbrookLBDBRS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcgs/HolbrookLBDBRS21
Andrew J. Holbrook, Philippe Lemey, Guy Baele, Simon Dellicour, Dirk Brockmann, Andrew Rambaut, Marc A. Suchard:
Massive Parallelization Boosts Big Bayesian Multidimensional Scaling. J. Comput. Graph. Stat. 30(1): 11-24 (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.