52 citations · 71 across the 4 of their papers we have counts for
4 papers
Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling
Satoru Tokuda, Seigo Souma, Kouji Segawa +4
Quasiparticle - a key concept to describe interacting particles - characterizes electron-electron interaction in metals (Fermi liquid) and electron pairing in superconductors. Whil…
Bayesian Modelling of Pattern Formation from One Snapshot of Pattern
Natsuhiko Yoshinaga, Satoru Tokuda
Partial differential equations (PDE) have been widely used to reproduce patterns in nature and to give insight into the mechanism underlying pattern formation. Although many PDE mo…
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…
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…