Information criteria for support vector machines. - Kei Kobayashi; Fumiyasu Komaki (IEEE Trans. Neural Networks, 2006)

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

Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior. - Fumiyasu Komaki (Entropy, 2013)

Edge selection based on the geometry of dually flat spaces for Gaussian graphical models. - Yoshihiro Hirose; Fumiyasu Komaki (Stat. Comput., 2013)

Asymptotically Constant-Risk Predictive Densities When the Distributions of Data and Target Variables Are Different. - Keisuke Yano; Fumiyasu Komaki (Entropy, 2014)

Simultaneous prediction for independent Poisson processes with different durations. - Fumiyasu Komaki (J. Multivar. Anal., 2015)

Relations Between the Conditional Normalized Maximum Likelihood Distributions and the Latent Information Priors. - Mutsuki Kojima; Fumiyasu Komaki (IEEE Trans. Inf. Theory, 2016)

Minimax Estimation of Quantum States Based on the Latent Information Priors. - Takayuki Koyama; Takeru Matsuda; Fumiyasu Komaki (Entropy, 2017)

Time Series Decomposition into Oscillation Components and Phase Estimation. - Takeru Matsuda; Fumiyasu Komaki (Neural Comput., 2017)

Multivariate Time Series Decomposition into Oscillation Components. - Takeru Matsuda; Fumiyasu Komaki (Neural Comput., 2017)

A point process modeling approach for investigating the effect of online brain activity on perceptual switching. - Takeru Matsuda; Keiichi Kitajo; Yoko Yamaguchi; Fumiyasu Komaki (NeuroImage, 2017)

Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance. - Masatoshi Uehara; Takeru Matsuda; Fumiyasu Komaki (CoRR, 2018)

Empirical Bayes matrix completion. - Takeru Matsuda; Fumiyasu Komaki (Comput. Stat. Data Anal., 2019)

Adjacency-based regularization for partially ranked data with non-ignorable missing. - Kento Nakamura; Keisuke Yano; Fumiyasu Komaki (Comput. Stat. Data Anal., 2020)

Deconvolution of calcium imaging data using marked point processes. - Ryohei Shibue; Fumiyasu Komaki (PLoS Comput. Biol., 2020)

Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes. - Fumiyasu Komaki (IEEE Trans. Inf. Theory, 2021)

Shrinkage Priors on Complex-Valued Circular- Symmetric Autoregressive Processes. - Hidemasa Oda; Fumiyasu Komaki (IEEE Trans. Inf. Theory, 2021)

Bayes Extended Estimators for Curved Exponential Families. - Michiko Okudo; Fumiyasu Komaki (IEEE Trans. Inf. Theory, 2021)

Oscillator decomposition of infant fNIRS data. - Takeru Matsuda; Fumitaka Homae; Hama Watanabe; Gentaro Taga; Fumiyasu Komaki (PLoS Comput. Biol., 2022)

BHGNN-RT: Network embedding for directed heterogeneous graphs. - Xiyang Sun; Fumiyasu Komaki (CoRR, 2023)

Enriched standard conjugate priors and the right invariant prior for Wishart distributions. - Hidemasa Oda; Fumiyasu Komaki (J. Multivar. Anal., 2023)

Empirical Bayes Poisson matrix completion. - Xiao Li; Takeru Matsuda; Fumiyasu Komaki (Comput. Stat. Data Anal., 2024)