Fumiyasu Komaki

Orcid: 0000-0001-8371-5092

According to our database1, Fumiyasu Komaki authored at least 22 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Empirical Bayes Poisson matrix completion.
Comput. Stat. Data Anal., 2024

2023
Enriched standard conjugate priors and the right invariant prior for Wishart distributions.
J. Multivar. Anal., 2023

BHGNN-RT: Network embedding for directed heterogeneous graphs.
CoRR, 2023

2022
Oscillator decomposition of infant fNIRS data.
PLoS Comput. Biol., 2022

2021
Bayes Extended Estimators for Curved Exponential Families.
IEEE Trans. Inf. Theory, 2021

Shrinkage Priors on Complex-Valued Circular- Symmetric Autoregressive Processes.
IEEE Trans. Inf. Theory, 2021

Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes.
IEEE Trans. Inf. Theory, 2021

2020
Deconvolution of calcium imaging data using marked point processes.
PLoS Comput. Biol., 2020

Adjacency-based regularization for partially ranked data with non-ignorable missing.
Comput. Stat. Data Anal., 2020

2019
Empirical Bayes matrix completion.
Comput. Stat. Data Anal., 2019

2018
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance.
CoRR, 2018

2017
A point process modeling approach for investigating the effect of online brain activity on perceptual switching.
NeuroImage, 2017

Multivariate Time Series Decomposition into Oscillation Components.
Neural Comput., 2017

Time Series Decomposition into Oscillation Components and Phase Estimation.
Neural Comput., 2017

Minimax Estimation of Quantum States Based on the Latent Information Priors.
Entropy, 2017

2016
Relations Between the Conditional Normalized Maximum Likelihood Distributions and the Latent Information Priors.
IEEE Trans. Inf. Theory, 2016

2015
Simultaneous prediction for independent Poisson processes with different durations.
J. Multivar. Anal., 2015

2014
Asymptotically Constant-Risk Predictive Densities When the Distributions of Data and Target Variables Are Different.
Entropy, 2014

2013
Edge selection based on the geometry of dually flat spaces for Gaussian graphical models.
Stat. Comput., 2013

Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior.
Entropy, 2013

2009
Bayesian predictive densities based on superharmonic priors for the 2-dimensional Wishart model.
J. Multivar. Anal., 2009

2006
Information criteria for support vector machines.
IEEE Trans. Neural Networks, 2006


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