In this study, we demonstrate a sequential experimental design for spect...
In this paper, we propose a method for estimating model parameters using...
When analyzing spectral data, it is effective to use spectral deconvolut...
In this paper, we propose a Bayesian spectral deconvolution considering ...
We propose a Markov chain Monte Carlo-based deconvolution method designe...
Measurements are inseparable from inference, where the estimation of sig...
In this paper, we propose a new method of Bayesian measurement for spect...
The heuristic identification of peaks from noisy complex spectra often l...