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Fumiyasu Komaki
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2020 – today
- 2024
- [j20]Xiao Li
, Takeru Matsuda, Fumiyasu Komaki:
Empirical Bayes Poisson matrix completion. Comput. Stat. Data Anal. 197: 107976 (2024) - 2023
- [j19]Hidemasa Oda
Enriched standard conjugate priors and the right invariant prior for Wishart distributions. J. Multivar. Anal. 193: 105105 (2023) - [i2]Xiyang Sun, Fumiyasu Komaki:
BHGNN-RT: Network embedding for directed heterogeneous graphs. CoRR abs/2311.14404 (2023) - 2022
- [j18]Takeru Matsuda
Oscillator decomposition of infant fNIRS data. PLoS Comput. Biol. 18(3) (2022) - 2021
- [j17]Michiko Okudo
Bayes Extended Estimators for Curved Exponential Families. IEEE Trans. Inf. Theory 67(2): 1088-1098 (2021) - [j16]Fumiyasu Komaki
Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes. IEEE Trans. Inf. Theory 67(8): 5305-5317 (2021) - [j15]Hidemasa Oda
Shrinkage Priors on Complex-Valued Circular- Symmetric Autoregressive Processes. IEEE Trans. Inf. Theory 67(8): 5318-5333 (2021) - 2020
- [j14]Kento Nakamura, Keisuke Yano
Adjacency-based regularization for partially ranked data with non-ignorable missing. Comput. Stat. Data Anal. 145: 106905 (2020) - [j13]Ryohei Shibue, Fumiyasu Komaki
Deconvolution of calcium imaging data using marked point processes. PLoS Comput. Biol. 16(3) (2020)
2010 – 2019
- 2019
- [j12]Takeru Matsuda
Empirical Bayes matrix completion. Comput. Stat. Data Anal. 137: 195-210 (2019) - 2018
- [i1]Masatoshi Uehara, Takeru Matsuda, Fumiyasu Komaki:
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance. CoRR abs/1808.07983 (2018) - 2017
- [j11]Takayuki Koyama, Takeru Matsuda
Minimax Estimation of Quantum States Based on the Latent Information Priors. Entropy 19(11): 618 (2017) - [j10]Takeru Matsuda, Fumiyasu Komaki
Time Series Decomposition into Oscillation Components and Phase Estimation. Neural Comput. 29(2): 332-367 (2017) - [j9]Takeru Matsuda, Fumiyasu Komaki
Multivariate Time Series Decomposition into Oscillation Components. Neural Comput. 29(8): 2055-2075 (2017) - [j8]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: 50-59 (2017) - 2016
- [j7]Mutsuki Kojima, Fumiyasu Komaki
Relations Between the Conditional Normalized Maximum Likelihood Distributions and the Latent Information Priors. IEEE Trans. Inf. Theory 62(1): 539-553 (2016) - 2015
- [j6]Fumiyasu Komaki
Simultaneous prediction for independent Poisson processes with different durations. J. Multivar. Anal. 141: 35-48 (2015) - 2014
- [j5]Keisuke Yano, Fumiyasu Komaki
Asymptotically Constant-Risk Predictive Densities When the Distributions of Data and Target Variables Are Different. Entropy 16(6): 3026-3048 (2014) - 2013
- [j4]Fumiyasu Komaki:
Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior. Entropy 15(10): 4416-4431 (2013) - [j3]Yoshihiro Hirose
Edge selection based on the geometry of dually flat spaces for Gaussian graphical models. Stat. Comput. 23(6): 793-800 (2013)
2000 – 2009
- 2009
- [j2]Fumiyasu Komaki
Bayesian predictive densities based on superharmonic priors for the 2-dimensional Wishart model. J. Multivar. Anal. 100(10): 2137-2154 (2009) - 2006
- [j1]Kei Kobayashi, Fumiyasu Komaki
Information criteria for support vector machines. IEEE Trans. Neural Networks 17(3): 571-577 (2006)
Coauthor Index
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