activity
20222026
most citedSequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing stat.COShow all

1 paper · 1 filter

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…