2 papers
stat.CO2026
GPU-Accelerated Sequential Monte Carlo for Bayesian Spectral Analysis
Tomohiro Nabika, Yui Hayashi, Masato Okada
Bayesian spectral deconvolution provides a data-driven framework for mathematical model selection and parameter estimation from spectral data. Although highly versatile, it becomes…
cs.IT2026
Sequential Exchange Monte Carlo: A Sampling Method for Bayesian Data Analysis without Parameter Tuning
Tomohiro Nabika, Kenji Nagata, Shun Katakami +2
Bayesian data analysis is widely used across many disciplines, and representative examples in materials science include spectral analysis and sparse modeling. In such applications,…