52 citations · 98 across the 17 of their papers we have counts for
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stat.ME2020★ 5 cited
Fast Bayesian Deconvolution using Simple Reversible Jump Moves
Koki Okajima, Kenji Nagata, Masato Okada
We propose a Markov chain Monte Carlo-based deconvolution method designed to estimate the number of peaks in spectral data, along with the optimal parameters of each radial basis f…
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…