Home ›
Entities
› academia
› Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation
Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation
Research article (Physical review. E, 2016) · cited 24× · AI/ML
Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation
Summary
Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation is a scholarly article[1].
Key Facts
Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation. Retrieved May 24, 2026, from https://4ort.xyz/entity/boosting-bayesian-parameter-inference-of-nonlinear-stochastic-differential-equation-models-by-hamiltonian-scale-separati