Journal (refereed):
In statistical papers, author names are typically arranged alphabetically (since 2021), while in applied papers, they are usually ordered by contribution.
I take responsibility for all the papers on which my name appears, but for those in which I feel my contribution does not constitute the majority, I make it clear where I contributed.
[28] Keisuke Yano, Masayuki Kano, Takane Hori, and Keisuke Ariyoshi, Recurrence analysis on slow slip events in Japan using the Brownian Passage Time distribution, accepted at Earth, Planets and Space
[27*] Tomonari Sei and Keisuke Yano, Estimation of bivariate minimum information dependence models using the density-ratio framework, accepted in Annals of the Institute of Statistical Mathematics (*My contribution: technical comments & implementing the application to deep neural networks)
[26*] Kosei Wada, Makoto Sasaki, and Keisuke Yano, Performance Evaluation of High-Dimensional Spatio-Temporal Evolution Simulation Using Physics-Informed Neural Networks, accepted in Journal of Plasma and Fusion Research. (*My contribution: technical comments & designing initial programs)
[25] Gourab Mukherjee and Keisuke Yano, Predictive inference in Linear mixed models, accepted in Indian Journal of Pure and Applied Mathematics.
[24] Masayuki Kano, Keisuke Yano, Yusuke Tanaka, Tetsuya Takabatake, Yusaku Ohta, Spatio-temporal characteristics in the GEONET F5 solution in the frequency domain estimated based on the robust spectral analysis, Earth Planets Space 77, 103, 2025 (DOI: https://doi.org/10.1186/s40623-025-02236-3)
[23] Yukito Iba and Keisuke Yano, Posterior Covariance Information Criterion for general loss functions, Bayesian Analysis, 2025 (DOI:https://doi.org/10.1214/25-BA1536, arxiv: arXiv:2206.05887)
[22] Atsushi Takahashi, Keisuke Yano, and Masayuki Kano, A GNSS-velocity clustering method applicable from local to global scales, Journal of Geophysical Research: Solid Earth, vol.130, 2025 (DOI: http://dx.doi.org/10.1029/2024JB029689)
[21*] Yusuke Tanaka, Masayuki Kano, and Keisuke Yano, Detecting Slow Slip Signals in Southwest Japan Based on Machine Learning Trained by Real GNSS Time Series, Journal of Geophysical Research: Solid Earth , vol.130, 2025 (DOI: https://doi.org/10.1029/2024JB029499) (*My contribution: discussions on the analysis methods)
[20*] Taiga Saito, Yu Otake, Stephen Wu, and Keisuke Yano, Exploring high-order multivariate geotechnical features using the minimum information dependence model, Geodata and AI, 2025, 100009. (*My contribution: technical comments & designing initial programs)
[19] Michiko Okudo and Keisuke Yano, Matching prior pairs connecting Maximum A Posteriori estimation and posterior expectation, Bayesian Analysis, 2024 (DOI:https://doi.org/10.1214/24-BA1500 ; https://arxiv.org/abs/2312.09586)
[18] Hideitsu Hino and Keisuke Yano, An embedding structure of determinantal point process, Information Geometry , vol. 7, 523-542, 2024 (DOI: https://doi.org/10.1007/s41884-024-00156-x; https://arxiv.org/abs/2404.11024; Corrigendum)
[17*] Yusuke Tanaka, Masayuki Kano, Takuya Nishimura, Yusaku Ohta, Keisuke Yano, Numerical experiment toward simultaneous estimation of the spatiotemporal evolution of interseismic fault slips and block motions in southwest Japan, Earth, Planets and Space, vol. 76, 2024 (https://doi.org/10.1186/s40623-024-02009-4) (*My contribution: helping the initial processing of the data and mathematical discussion of the analysis)
[16] Tomonari Sei and Keisuke Yano, Minimum information dependence modeling, Bernoulli, vol. 30, 2623-2643, 2024 (DOI: 10.3150/23-BEJ1687; arXiv:2206.06792)
[15] Akifumi Okuno and Keisuke Yano, A generalization gap estimation for overparameterized models via Langevin functional variance, Journal of Computational and Graphical Statistics, vol. 32, 1287-1295, 2023 (https://doi.org/10.1080/10618600.2023.2197488; arXiv:2112.03660)
[14] Yukito Iba and Keisuke Yano, Posterior Covariance Information Criterion for Weighted Inference, Neural Computation, vol. 35, 1340–1361, 2023 (https://doi.org/10.1162/neco_a_01592, arXiv:2106.13694)
[13] Akifumi Okuno and Keisuke Yano, Dependence of variance on covariate design in nonparametric link regression, Statistics and Probability Letters, vol. 193, 2023, 109716 (https://doi.org/10.1016/j.spl.2022.109716; arXiv:2012.13106)
[12] Keisuke Yano and Masayuki Kano, l1 Trend Filtering-based Detection of Short-term Slow Slip Events: Application to a GNSS Array in Southwest Japan, Journal of Geophysical Research: Solid Earth, vol. 127, 5, e2021JB023258, 2022 (https://doi.org/10.1029/2021JB023258;python code)
[11] Yohta Yamanaka, Sumito Kurata, Keisuke Yano, Fumiyasu Komaki, Takahiro Shiina, Aitaro KatoStructured regularization based local earthquake tomography for the adaptation to velocity discontinuities, Earth, Planets and Space, vol. 74, 43, 2022 (https://doi.org/10.1186/s40623-022-01600-x)
[10*] Hidenobu Takahashi, Kazuya Tateiwa, Keisuke Yano, Masayuki Kano, A convolutional neural network-based classification of local earthquakes and tectonic tremors in Sanriku-oki, Japan, using S-net data, Earth, Planets and Space, vol. 73, 186, 2021 (https://doi.org/10.1186/s40623-021-01524-y) (*My contribution: technical comments & designing initial programs)
[9] Keisuke Yano, Takahiro Shiina, Sumito Kurata, Aitaro Kato, Fumiyasu Komaki, Shin'ichi Sakai, and Naoshi Hirata, Graph-partitioning based convolutional network for earthquake detection using a seismic array, Journal of Geophysical Research: Solid Earth, vol. 126, e2020JB020269, 2021 (https://doi.org/10.1029/2020JB020269) Top downloaded article (2023/3/30) among work published in an issue between 1 Jan. 2021-31 Dec. 2021.
[8] Edward George, Gourab Mukherjee, and Keisuke Yano, Optimal Shrinkage Estimation of Predictive Densities under $\alpha$-divergences, Bayesian Analysis, vol.16, 1139-1155, 2021 (https://doi.org/10.1214/21-BA1264)
[7] Keisuke Yano, Ryoya Kaneko, and Fumiyasu Komaki, Minimax Predictive Density for Sparse Count Data, Bernoulli, vol. 27, 1212-1238, 2021 (doi:10.3150/20-BEJ1271 ; python code)
[6] Kento Nakamura, Keisuke Yano, and Fumiyasu Komaki, Adjacency-based regularization for partially ranked data with non-ignorable missing, Computational Statistics & Data Analysis, vol. 145, 106905, 2020 (doi:10.1016/j.csda.2019.106905)
[5] Keisuke Yano and Kengo Kato, On frequentist coverage errors of Bayesian credible sets in moderately high dimensions , Bernoulli, vol. 26, pp.616-641, 2020 (arXiv:1803.03450 ; doi: 10.3150/19-BEJ1142 )
[4] Yuya Takasu, Keisuke Yano, and Fumiyasu Komaki, Scoring Rules for Statistical Models on Spheres, Statistics and Probability Letters, vol. 138, pp. 111-115, 2018 (doi:10.1016/j.spl.2018.02.054).
[3] Keisuke Yano and Fumiyasu Komaki, Asymptotically minimax prediction in infinite sequence models, Electronic Journal of Statistics, vol. 11,pp. 3165-3195, 2017 (doi:10.1214/17-EJS1312).
[2] Keisuke Yano and Fumiyasu Komaki, Information criteria for prediction when the distributions of current and future observations differ, Statistica Sinica, vol. 27, pp. 1205-1223, 2017 (doi:10.5705/ss202015.0380).
[1] Keisuke Yano and Fumiyasu Komaki, Asymptotically constant-risk predictive densities when the distributions of data and target variables are different, Entropy, vol. 16, pp. 3026-3048, 2014 (doi:10.3390/e16063026).
International Conference (Refereed)
Takashi Nakada, Shinobu Miwa, Keisuke Yano and Hiroshi Nakamura, Performance Modeling for Designing NoC-based Multiprocessors, Proceedings of IEEE International Symposium on Rapid System Prototyping, pp.30-36, Montreal, Canada, Oct 3-4, 2013 (doi:10.1109/RSP.2013.6683955).
Preprint
Dual Riemannian Newton Method on Statistical Manifolds (with Derun Zhou and Mahito Sugiyama; arXiv:2511.11318; submitted)
Universality of intermittencies by trapped coherent vortices in a linear magnetized plasma device (with Makoto Sasaki, Yuichi Kawachi, Takuma Yamada, Yusuke Kosuga, and Akihide Fujisawa; in revision)
Towards a robust frequency-domain analysis: Spectral R\'{e}nyi divergence revisited (with Tetsuya Takabatake; arXiv:2310.06902 ; in revision)
Misc.
Non-asymptotic Bayesian Minimax Adaptation (Keisuke Yano and Fumiyasu Komaki) (arXiv:1609.00940)
On $\varepsilon$-admissibility in High Dimension and Nonparametrics (Keisuke Yano and Fumiyasu Komaki) (arXiv:1708.03751)