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physics.data-an2020★ 2 cited
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data
Satoru Tokuda, Kenji Nagata, Masato Okada
Occam's razor is a guiding principle that models should be simple enough to describe observed data. While Bayesian model selection (BMS) embodies it by the intrinsic regularization…
physics.data-an2016★ 52 cited
Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution
Satoru Tokuda, Kenji Nagata, Masato Okada
The heuristic identification of peaks from noisy complex spectra often leads to misunderstanding of the physical and chemical properties of matter. In this paper, we propose a fram…