Multifidelity approximate Bayesian computation with sequential Monte Carlo parameter sampling

Multifidelity approximate Bayesian computation (MF-ABC) is a likelihood-free technique for parameter inference that exploits model approximations to significantly increase the speed of ABC algorithms (Prescott and Baker, 2020). Previous work has considered MF-ABC only in the context of rejection sam...

সম্পূর্ণ বিবরণ

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Prescott, TP, Baker, RE
বিন্যাস: Journal article
ভাষা:English
প্রকাশিত: Society for Industrial and Applied Mathematics 2021