Black Box Variational Bayesian Model Averaging

We use two different methods, Monte Carlo sampling and variational inference (VI), to perform a Bayesian calibration of the effective-range parameters in 3He-4He elastic scattering. The parameters are calibrated to data from a recent set of 3He-4He elastic scattering differential cross section measurements. Analysis of these data for Elab ≤ 4.3 MeV yields a unimodal posterior for which both methods obtain the same structure. However, the effective-range expansion amplitude does not account for the 7/2- state of 7Be so, even after calibration, the description of data at the upper end of this energy range is poor. The data up to Elab=2.6 MeV can be well described, but calibration to this lower-energy subset of the data yields a bimodal posterior. After adapting VI to treat such a multi-modal posterior we find good agreement between the VI results and those obtained with parallel-tempered Monte Carlo sampling.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Black Box Variational Bayesian Model Averaging

Cited by 2 publications

References 56 publications

Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging

Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging

Variational inference of effective range parameters for ³He−⁴He scattering

Contact Info

Product

Resources

About

Black Box Variational Bayesian Model Averaging

Cited by 2 publications

References 56 publications

Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging

Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging

Variational inference of effective range parameters for 3He−4He scattering

Contact Info

Product

Resources

About

Variational inference of effective range parameters for ³He−⁴He scattering