"Scalable Method for Bayesian Experimental Design without Integrating over ..."

Vinh Hoang et al. (2025)

> Home

Details and statistics

DOI: 10.1137/23M1603364

access: closed

type: Journal Article

metadata version: 2025-01-29

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/juq/HoangEKT25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/juq/HoangEKT25
Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raúl Tempone:
Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution. SIAM/ASA J. Uncertain. Quantification 13(1): 114-139 (2025)

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.