Tag: Markov chain Monte Carlo

A new comparative study tests four Markov Chain Monte Carlo algorithms on synthetic and real Venezuelan oilfield data, showing that ...

A new analysis shows that uncertainties in helium diffusion parameters in zircon can shift predicted thermochronologic ages by hundreds of ...

A new ensemble-based gravity inversion, combining ground-based and airborne measurements, reveals that the bed beneath East Antarctica's Denman Glacier is ...

Physicists have upgraded the EasyScan_HEP parameter-scan framework so that large-language-model agents can prepare, validate, run and summarize high-energy physics scans ...

Researchers at the University of Delhi have used artificial and Bayesian neural networks to calibrate gamma-ray burst energy relations without ...

Researchers in Iran have developed a unified River Water Quality Index that combines sixteen physicochemical and microbial parameters with heavy ...

Researchers have combined machine learning and Bayesian inference to reconstruct incomplete records and derive more physically consistent seismic fragility curves ...

A new Nature study presents Delphy, a GPU-accelerated Bayesian phylogenetics platform that delivers dated, uncertainty-aware viral trees from outbreak-scale datasets ...