Markov random field modeling for map** geofluid distributions from seismic velocity structures

T Kuwatani, K Nagata, M Okada, M Toriumi - Earth, Planets and Space, 2014 - Springer
We applied the Markov random field model, which is a kind of a Bayesian probabilistic
method, to the spatial inversion of the porosity and pore shape in rocks from an observed …

Markov-random-field modeling for linear seismic tomography

T Kuwatani, K Nagata, M Okada, M Toriumi - Physical Review E, 2014 - APS
We apply the Markov-random-field model to linear seismic tomography and propose a
method to estimate the hyperparameters for the smoothness and the magnitude of the noise …

Precise estimation of pressure–temperature paths from zoned minerals using Markov random field modeling: theory and synthetic inversion

T Kuwatani, K Nagata, M Okada, M Toriumi - Contributions to Mineralogy …, 2012 - Springer
The chemical zoning profile in metamorphic minerals is often used to deduce the pressure–
temperature (P–T) history of rock. However, it remains difficult to restore detailed paths from …

Multidimensional bin-width optimization for histogram and its application to four-dimensional neutron inelastic scattering data

K Muto, H Sakamoto, K Matsuura, T Arima… - Journal of the Physical …, 2019 - journals.jps.jp
We propose a method for optimizing bin widths for multidimensional histograms. The
optimization criterion is based on a cost function representing the tradeoff between the …

Inference in alpha rhythm phase and amplitude modeled on Markov random field using belief propagation from electroencephalograms

Y Naruse, K Takiyama, M Okada, T Murata - Physical Review E—Statistical …, 2010 - APS
Alpha rhythm is a major component of spontaneous electroencephalographic (EEG) data.
We develop a novel method that can be used to estimate the instantaneous phases and …

機器分析と食品の 「おいしさ」 解析

鈴木俊之 - 熱測定, 2020 - jstage.jst.go.jp
抄録 Analytical instruments which has been gradually improved are widely used to get
various property of analyte. Those techniques give analysts much bigger data that makes …

Approximate bayesian estimation of varying binomial process

K Watanabe, M Okada - IEICE Transactions on Fundamentals of …, 2011 - search.ieice.org
Bayesian methods are often applied for estimating the event rate from a series of event
occurrences. However, the Bayesian posterior distribution requires the computation of the …

[PDF][PDF] Efficient Analysis of Event Data and Application for Optimal Termination

K Muto, M Okada - repository.dl.itc.u-tokyo.ac.jp
In recent years, a large amount of four-dimensional event data have been obtainable in
neutron inelastic scattering experiments conducted by chopper spectrometers at Japan …