Fumiyasu Komaki

发表

Graph‐Partitioning Based Convolutional Neural Network for Earthquake Detection Using a Seismic Array

Keisuke Yano, Takahiro Shiina, Sumito Kurata, 2020, Journal of Geophysical Research: Solid Earth.

Bayesian forecasting of recurrent earthquakes and predictive performance for a small sample size

Fumiyasu Komaki, S. Nomura, Yosihiko Ogata, 2011 .

MATHEMATICAL ENGINEERING TECHNICAL REPORTS A Modification of Profile Empirical Likelihood for the Exponential-Tilt Model

Fumiyasu Komaki, Kazuhisa Inagaki, F. Komaki, 2010 .

Relations Between the Conditional Normalized Maximum Likelihood Distributions and the Latent Information Priors

Fumiyasu Komaki, Mutsuki Kojima, 2016, IEEE Transactions on Information Theory.

Deconvolution of calcium imaging data using marked point processes

Fumiyasu Komaki, Ryohei Shibue, F. Komaki, 2020, PLoS Comput. Biol..

Information criteria for support vector machines

Fumiyasu Komaki, Kei Kobayashi, F. Komaki, 2006, IEEE Transactions on Neural Networks.

Bayesian predictive densities based on superharmonic priors for the 2-dimensional Wishart model

Fumiyasu Komaki, F. Komaki, 2009, J. Multivar. Anal..

MATHEMATICAL ENGINEERING TECHNICAL REPORTS An Estimation Procedure for Contingency Table Models Based on the Nested Geometry

Fumiyasu Komaki, Yoshihiro Hirose, F. Komaki, 2012 .

MATHEMATICAL ENGINEERING TECHNICAL REPORTS Information Criteria for Kernel Machines

Fumiyasu Komaki, Kei Kobayashi, F. Komaki, 2005 .

Simultaneous prediction for independent Poisson processes with different durations

Fumiyasu Komaki, F. Komaki, 2014, J. Multivar. Anal..

A point process modeling approach for investigating the effect of online brain activity on perceptual switching

Fumiyasu Komaki, Takeru Matsuda, Yoko Yamaguchi, 2017, NeuroImage.

MATHEMATICAL ENGINEERING TECHNICAL REPORTS A Superharmonic Prior for the Autoregressive Process of the Second Order

Fumiyasu Komaki, Fuyuhiko Tanaka, 2006 .

Firing rate estimation using infinite mixture models and its application to neural decoding.

Fumiyasu Komaki, Ryohei Shibue, 2017, Journal of neurophysiology.

Minimax Estimation of Quantum States Based on the Latent Information Priors

Fumiyasu Komaki, Takeru Matsuda, Takayuki Koyama, 2017, Entropy.

Edge selection based on the geometry of dually flat spaces for Gaussian graphical models

Fumiyasu Komaki, Yoshihiro Hirose, F. Komaki, 2013, Stat. Comput..

Multivariate Time Series Decomposition into Oscillation Components

Fumiyasu Komaki, Takeru Matsuda, 2017, Neural Computation.

Adjacency-based regularization for partially ranked data with non-ignorable missing

Keisuke Yano, Fumiyasu Komaki, Kento Nakamura, 2020, Comput. Stat. Data Anal..

Empirical Bayes matrix completion

Fumiyasu Komaki, Takeru Matsuda, 2019, Comput. Stat. Data Anal..

Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance pdf

Masatoshi Uehara, Fumiyasu Komaki, Takeru Matsuda, 2018, ArXiv.

Bayesian optimal response-adaptive design for binary responses using stopping rule

Fumiyasu Komaki, Atanu Biswas, F. Komaki, 2018, Statistical methods in medical research.

Asymptotically Constant-Risk Predictive Densities When the Distributions of Data and Target Variables Are Different

Keisuke Yano, Fumiyasu Komaki, F. Komaki, 2014, Entropy.

Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior

Fumiyasu Komaki, F. Komaki, 2013, Entropy.

Time Series Decomposition into Oscillation Components and Phase Estimation

Fumiyasu Komaki, Takeru Matsuda, F. Komaki, 2017, Neural Computation.

Shrinkage priors for single-spiked covariance models

Fumiyasu Komaki, Michiko Okudo, 2021 .

Enriched standard conjugate priors and the right invariant prior for Wishart distributions

Fumiyasu Komaki, Hidemasa Oda, 2021 .

Shrinkage Priors on Complex-Valued Circular- Symmetric Autoregressive Processes

Fumiyasu Komaki, Hidemasa Oda, 2021, IEEE Transactions on Information Theory.

Structured regularization based local earthquake tomography for the adaptation to velocity discontinuities

Takahiro Shiina, Sumito Kurata, Fumiyasu Komaki, 2021 .

Bayes Extended Estimators for Curved Exponential Families

Fumiyasu Komaki, Michiko Okudo, 2021, IEEE Transactions on Information Theory.

Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes

Fumiyasu Komaki, F. Komaki, 2020, IEEE Transactions on Information Theory.

Bayesian Predictive Distribution with Right Invariant Priors

Fumiyasu Komaki, 2002 .

A shrinkage predictive distribution for multivariate Normal observables

Fumiyasu Komaki, F. Komaki, 2001 .

Bayesian prediction based on a class of shrinkage priors for location-scale models

Fumiyasu Komaki, F. Komaki, 2007 .

Shrinkage priors for Bayesian prediction

Fumiyasu Komaki, F. Komaki, 2006, math/0607021.

Bayesian predictive densities based on latent information priors

Fumiyasu Komaki, F. Komaki, 2010, 1009.5072.

THE SECTIONAL CURVATURE OF AR MODEL MANIFOLDS

Fumiyasu Komaki, Fuyuhiko Tanaka, F. Komaki, 2003 .

An Estimating Method for Parametric Spectral Densities of Gaussian Time Series

Fumiyasu Komaki, F. Komaki, 1999 .

A class of proper priors for Bayesian simultaneous prediction of independent Poisson observables

Fumiyasu Komaki, 2006 .

Determinantal Point Process Priors for Bayesian Variable Selection in Linear Regression

Fumiyasu Komaki, Mutsuki Kojima, F. Komaki, 2014, 1406.2100.

Asymptotically minimax Bayesian predictive densities for multinomial models

Fumiyasu Komaki, 2011 .

Bayesian prediction and model selection for locally asymptotically mixed normal models

Fumiyasu Komaki, Tomonari Sei, F. Komaki, 2007 .

Asymptotic Expansion of the Risk Difference of the Bayesian Spectral Density in the ARMA model

Fumiyasu Komaki, Fuyuhiko Tanaka, F. Komaki, 2005 .

Information Criteria for Kernel Machines

Fumiyasu Komaki, Kei Kobayashi, F. Komaki, 2005 .

Simultaneous prediction of independent Poisson observables

Fumiyasu Komaki, F. Komaki, 2004 .

The Information Geometric Structure of Generalized Empirical Likelihood Estimators

Fumiyasu Komaki, F. Komaki, Tomoaki Nishimura, 2006 .

An Extension of Least Angle Regression Based on the Information Geometry of Dually Flat Spaces

Fumiyasu Komaki, Yoshihiro Hirose, F. Komaki, 2009 .

Bayesian shrinkage prediction for the regression problem

Fumiyasu Komaki, Kei Kobayashi, 2007 .