Fumiyasu Komaki

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 17

Top Topics

Multivariate Time Series

Poisson Processes

Top Venues

IEEE Trans. Inf. Theory

Comput. Stat. Data Anal.

Publications

Xiao Li, Takeru Matsuda, Fumiyasu Komaki
Empirical Bayes Poisson matrix completion. Comput. Stat. Data Anal. 197 (2024)
Xiyang Sun, Fumiyasu Komaki
BHGNN-RT: Network embedding for directed heterogeneous graphs. CoRR (2023)
Hidemasa Oda, Fumiyasu Komaki
Enriched standard conjugate priors and the right invariant prior for Wishart distributions. J. Multivar. Anal. 193 (2023)
Takeru Matsuda, Fumitaka Homae, Hama Watanabe, Gentaro Taga, Fumiyasu Komaki
Oscillator decomposition of infant fNIRS data. PLoS Comput. Biol. 18 (3) (2022)
Hidemasa Oda, Fumiyasu Komaki
Shrinkage Priors on Complex-Valued Circular- Symmetric Autoregressive Processes. IEEE Trans. Inf. Theory 67 (8) (2021)
Michiko Okudo, Fumiyasu Komaki
Bayes Extended Estimators for Curved Exponential Families. IEEE Trans. Inf. Theory 67 (2) (2021)
Fumiyasu Komaki
Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes. IEEE Trans. Inf. Theory 67 (8) (2021)
Kento Nakamura, Keisuke Yano, Fumiyasu Komaki
Adjacency-based regularization for partially ranked data with non-ignorable missing. Comput. Stat. Data Anal. 145 (2020)
Ryohei Shibue, Fumiyasu Komaki
Deconvolution of calcium imaging data using marked point processes. PLoS Comput. Biol. 16 (3) (2020)
Takeru Matsuda, Fumiyasu Komaki
Empirical Bayes matrix completion. Comput. Stat. Data Anal. 137 (2019)
Masatoshi Uehara, Takeru Matsuda, Fumiyasu Komaki
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance. CoRR (2018)
Takeru Matsuda, Keiichi Kitajo, Yoko Yamaguchi, Fumiyasu Komaki
A point process modeling approach for investigating the effect of online brain activity on perceptual switching. NeuroImage 152 (2017)
Takeru Matsuda, Fumiyasu Komaki
Multivariate Time Series Decomposition into Oscillation Components. Neural Comput. 29 (8) (2017)
Takeru Matsuda, Fumiyasu Komaki
Time Series Decomposition into Oscillation Components and Phase Estimation. Neural Comput. 29 (2) (2017)
Takayuki Koyama, Takeru Matsuda, Fumiyasu Komaki
Minimax Estimation of Quantum States Based on the Latent Information Priors. Entropy 19 (11) (2017)
Mutsuki Kojima, Fumiyasu Komaki
Relations Between the Conditional Normalized Maximum Likelihood Distributions and the Latent Information Priors. IEEE Trans. Inf. Theory 62 (1) (2016)
Fumiyasu Komaki
Simultaneous prediction for independent Poisson processes with different durations. J. Multivar. Anal. 141 (2015)
Keisuke Yano, Fumiyasu Komaki
Asymptotically Constant-Risk Predictive Densities When the Distributions of Data and Target Variables Are Different. Entropy 16 (6) (2014)
Fumiyasu Komaki
Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior. Entropy 15 (10) (2013)
Yoshihiro Hirose, Fumiyasu Komaki
Edge selection based on the geometry of dually flat spaces for Gaussian graphical models. Stat. Comput. 23 (6) (2013)
Fumiyasu Komaki
Bayesian predictive densities based on superharmonic priors for the 2-dimensional Wishart model. J. Multivar. Anal. 100 (10) (2009)
Kei Kobayashi, Fumiyasu Komaki
Information criteria for support vector machines. IEEE Trans. Neural Networks 17 (3) (2006)