データ同化研究開発センター

Research and Development Center for Data Assimilation

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原著論文

2017

  • A. Nakabayashi and G. Ueno, An extension of the ensemble Kalman filter for estimating the observation error covariance matrix based on the variational Bayes's Method, Monthly Weather Review, Vol. 145, pp. 199-213, 2017.

2016

  • S. Nakano, K. Suzuki, K. Kawamura, F. Parrenin, and T. Higuchi, A sequential Bayesian approach for the estimation of the age-depth relationship of the Dome Fuji ice core, Nonlinear Processes in Geophysics, Vol. 23, pp. 31-44, 2016.
  • G. Ueno and N. Nakamura, Bayesian estimation of the observation-error covariance matrix in ensemble-based filters, Quarterly Journal of the Royal Meteorological Society, Vol. 142, pp. 2055-2080, doi:10.1002/qj.2803, 2016.
  • S. Nakano, K. Ito, K. Suzuki, and G. Ueno, Decadal-scale meridional shift of the typhoon recurvature latitude over five decades, International Journal of Climatology, Vol. 36, pp. 3819-3827, 2016.

2015

  • H. Kato, A. Yoshizawa, G. Ueno, and S. Obayashi, A data assimilation methodology for reconstructing turbulent flows around aircraft, Journal of Computational Physics, Vol. 283, pp. 559-581, 2015.
  • H. Ikebata, R. Yoshida, Repulsive parallel MCMC algorithm for discovering diverse motifs from large sequence sets, Bioinformatics, Vol. 31(10), 1561-1568, 2015.

2014

  • G. Ueno and N. Nakamura, Iterative algorithm for maximum-likelihood estimation of the observation-error covariancematrix for ensemble-based filters, Quarterly Journal of the Royal Meteorological Society, Vol. 140, pp. 295-315, doi:10.1002/qj.2134, 2014.
  • S. Nakano, Hybrid algorithm of ensemble transform and importance sampling for assimilation of non-Gaussian observations, Tellus A, Vol. 66, 21429, doi:10.3402/tellusa.v66.21429, 2014.
  • S. Nakano, M.-C. Fok, P. C. Brandt, and T. Higuchi, Estimation of the helium ion density distribution in the plasmasphere based on a single IMAGE/EUV image, Journal of Geophysical Research, Vol. 119, pp. 3724-3740, doi:10.1002/2013JA019733, 2014.
  • S. Nakano, M.-C. Fok, P. C. Brandt, and T. Higuchi, Estimation of temporal evolution of the helium plasmasphere based on a sequence of IMAGE/EUV images, Journal of Geophysical Research, Vol. 119, pp. 3708-3723, doi:10.1002/2013JA019734, 2014.
  • H. Yamashita, T. Higuchi, R. Yoshida, Atom Environment Kernels on Molecules, J. Chem. Inf. Model, doi:10.1021/ci400403w, 2014.
  • T. Tokunaga, O. Hirose, S. Kawaguchi, Y. Toyoshima, T. Teramoto, H. Ikebata, S. Kuge, T. Ishihara, Y. Iino, R. Yoshida, Automated detection and tracking of many cells by using 4D live-cell imaging data, Bioinformatics, Vol. 30(12), i43-i51, 2014.

2013

  • H. Nagao, T. Higuchi, S. Miura, and D. Inazu, Time-series modeling of tide gauge records for monitoring of the crustal activities related to oceanic trench earthquakes around Japan, The Computer Journal, Vol. 56, pp. 355-364, doi:10.1093/comjnl/bxs139, 2013.
  • 本橋永至, 樋口知之, 市場構造の変化を考慮したブランド選択モデルによる購買履歴データの解析, マーケティング・サイエンス, Vol. 21, No.1, 37-59, 2013.
  • 長尾大道，佐藤光三，樋口知之，マルコフ連鎖モンテカルロ法を利用したトレーサー試験からフラクチャーの物理パラメータを推定する方法，石油技術協会誌，Vol. 78，No. 2，2013.
  • 上野玄太，データ同化における大規模グラフィカルモデルの推定について, 統計数理, Vol. 61, pp. 17-46, 2013.
  • M. M. Saito, S. Imoto, R. Yamaguchi, M. Tsubokura, M. Kami, H. Nakada, H. Sato, S. Miyano, T. Higuchi, Enhancement of Collective Immunity in Tokyo Metropolitan Area by Selective Vaccination against an Emerging Influenza Pandemic, PLoS ONE, Vol. 8(9), e72866, doi:10.1371/journal.pone.0072866, 2013.
  • M. M. Saito, S. Imoto, R. Yamaguchi, M. Kami, H. Nakada, H. Sato, S. Miyano, T. Higuchi, Extension and verification of the SEIR model on the 2009 influenza A (H1N1) pandemic in Japan, Mathematical Biosciences, Vol. 246(1), pp. 47-54, 2013.
  • 長尾大道, 樋口知之, 地震音波データ同化システムの開発 ―双子実験による検証―, 統計数理, Vol. 61, No. 2, 257-270, 2013.

2012

  • 花塚泰史，樋口知之，松井知子，HMMに基づくタイヤ振動波形解析による路面状態判別, 電子情報通信学会論文誌Ｄ, vol. J95-D, pp. 570-577, 2012.
  • S. Nakano and T. Higuchi, Non-storm irregular variation of the Dst index, Annales Geophysicae, vol. 30, pp. 153-162, 2012.
  • H. Koyama, T. Umeda, K. Nakamura, T. Higuchi and A. Kimura, A high-resolution shape fitting and simulation demonstrated equatorial cell surface softening during cytokinesis and its promotive role in cytokinesis, PLoS ONE, vol. 7, e31607, 2012.
  • 本橋永至，磯崎直樹，長尾大道，樋口知之，"状態空間モデルによるインターネット広告のクリック率予測"，オペレーションズ・リサーチ, Vol. 57, 574-583, 2012.
  • 長尾大道，樋口知之，三浦哲，稲津大祐，"地球地殻の活動監視を目的とした粒子フィルタ法による長期潮位変動解析", 日本統計学会誌, Vol. 42, 119-133, 2012.
  • K. Hirose and T. Higuchi, Creating facial animation of characters via MoCap data, Journal of Applied Statistics, Vol. 39, pp. 2583-2597, 2012

2011

  • T. Tokunaga, D. Ikeda, K. Nakamura, T. Higuchi, A. Yoshikawa, T. Uozumi, A. Fujimoto, A. Morioka, K. Yumoto and CPMN group, Onset Time Determination of Precursory Events of Singular Spectrum Transformation, International Journal of Circuits, Systems and Signal processing, vol.5, pp. 46-60, 2011.
  • S. Saita, A. Kadokura, N. Sato, S. Fujita, T. Tanaka, Y. Ebihara, S. Ohtani, G. Ueno, K. Murata, D. Matsuoka, A. Kitamoto, and T. Higuchi, Displacement of conjugate points during a substorm in a global magnetohydrodynamic simulation, Journal of Geophysical Research, Vol. 116, A06213, doi:10.1029/2010JA016155, 2011.

2010

  • T. Ishigaki, T. Higuchi, and K. Watanabe, Fault detection of a vibration mechanism by spectrum classification with a divergence-based kernel, IET Signal Processing, Vol. 4, Iss. 5, 518-529, doi:10.1049/iet-spr.2008.0195, 2010.
  • R. Yoshida, M. M. Saito, H. Nagao, and T. Higuchi, Bayesian experts in exploring reaction kinetics of transcription circuits, Bioinformatics, Vol. 26, i589-i595, 2010.
  • G. Ueno, T. Higuchi, T. Kagimoto, N. Hirose, Maximum likelihood estimation of error covariances in ensemble-based filters and its application to a coupled atmosphere-ocean model, Quarterly Journal of the Royal Meteorological Society, Vol.136, 1316-1343, DOI:10.1002/qj.654, 2010.
  • D. Inazu, T. Higuchi, K. Nakamura, Optimization of boundary condition and physical parameter in an ocean tide model using an evolutionary algorithm,
    Theoretical and Applied Mechanics Japan, Vol. 58, 101-112, 2010.

2009

  • 中村和幸、樋口知之, 最近のベイズ理論の進展と応用[II] ─逐次ベイズとデータ同化─, 電子情報通信学会誌，Vol. 92, No.12. pp. 1062-1067, 2009.
  • 吉田亮, 樋口知之, 細胞内生化学反応経路のグラフィカルモデリングと統計的推測手法の新展開, 日本統計学会誌, Vol. 38, No.2, pp. 213-236, 2009.
  • S. Nakano and T. Higuchi, Estimation of a long-term variation of a magnetic- storm index using the merging particle filter, IEICE Trans. Inf. Syst., Vol. E92-D, No.7, pp. 1382-1387, 2009. >>
  • G. Ueno and T. Tsuchiya, Covariance regularization in inverse space, Q. J. R. Meteorol. Soc., Vol. 135, pp. 1133-1156, 2009. [PDF]
  • D. Inazu, T. Sato, S. Miura, Y. Ohta, K. Nakamura, H, Fujimoto, C. F. Larsen, and T. Higuchi, Accurate ocean tide modeling in southeast Alaska and large tidal dissipation around Glacier Bay, Journal of Oceanography, Vol. 65, No. 3, pp. 335-347, 2009.
  • K. Nakamura, N. Hirose, B. H. Choi, and T. Higuchi, Particle filtering in data assimilation and its application to boundary condition of tsunami simulation model, Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, edited by S. K. Park and L. Xu, pp. 353-366, Springer, 2009.
  • S. Nakano, G. Ueno, S. Ohtani, and T. Higuchi, Impact of the solar-wind dynamic pressure on the Region-2 field-aligned currents, J. Geophys. Res., v. 114, A02221, doi:10.1029/2008JA013674, 2009. >>
  • 佐藤忠彦, 樋口知之, 動的個人モデルによる購買生起行動の解析, マーケティング・サイエンス, Vol.16, No.1・2, 49-73, 2009.
  • T. Ishigaki, and T. Higuchi, Dynamic spectrum classification by Kernel classifiers with divergence-based Kernels and its applications to acoustic signals, International Journal of Knowledge Engineering and Soft Data Paradigms, Vol.1, No.2, 173-192, 2009.

2008

  • 佐藤忠彦, 樋口知之, 動学的売上反応モデルによるPOSデータの解析, マーケティング・サイエンス, Vol.15, No.1・2, 1-26, 2008.
  • 佐藤忠彦, 樋口知之, 動的個人モデルによる消費者来店行動の解析（討論付）, 日本統計学会誌, Vol.38, No.1, 1-38, 2008.
  • 中野 慎也, 上野 玄太, 中村 和幸, 樋口知之, Merging particle filterとその特性, 統計数理, Vol. 56, No. 2, pp. 225-234, 2008. [PDF]
  • R. Yoshida, M. Nagasaki, R. Yamaguchi, S. Imoto, S. Miyano, and T. Higuchi, Bayesian learning of biological pathways on genomic data assimilation,
    Bioinformatics, Vol. 24, No. 22, 2592-2601, 2008.
  • 石垣司, 樋口知之, 音響信号を利用したカーネル判別器による疲労紙幣検出－Divergence-basedカーネルを用いた時変スペクトル判別－, 計測自動制御学会論文集, Vol.44, No. 5, 444-449, 2008.
  • S. Nakano, G. Ueno, Y. Ebihara, M.-C. Fok, S. Ohtani, P. C. Brandt, D. G. Mitchell, K. Keika, and T. Higuchi, A method for estimating the ring current structure and the electric potential distribution using ENA data assimilation, Journal of Geophysical Research, Vol. 113, A05208, doi:10.1029/2006JA011853, 2008. >>

2007以前

  • S. Nakano, G. Ueno, and T. Higuchi, Merging particle filter for sequential data assimilation, Nonlinear Processes in Geophysics, Vol. 14, pp. 395-408, 2007. [PDF]
  • G. Ueno, T. Higuchi, T. Kagimoto, and N. Hirose, Application of the ensemble Kalman filter and smoother to a coupled atmosphere-ocean model,
    Scientific Online Letters on the Atmosphere, Vol. 3, pp. 5-8, 2007. [PDF]
  • 中村 和幸, 上野 玄太, 樋口 知之, データ同化: その概念と計算アルゴリズム, 統計数理, v. 53, 2005. [PDF]
 

プロシーディングス(査読あり)

2017

  • S. Nakano and Y. Futaana, Identification of signal and noise components in spacecraft neutral particle data using a bi-level mixture model, Proceedings of the 4th IEEE International Conference on Data Science and Advanced Analytics, pp. 487-495, doi:10.1109/DSAA.2017.38, 2017.

2014

  • M. M. Saito, S. Imoto, R. Yamaguchi, S. Miyano, T. Higuchi, Parameter estimation in multi-compartment SIR model, Proceedings of 17th International Conference on Information Fusion, 2014.

2013

  • H. Nagao and T. Higuchi, Data assimilation system for seismoacoustic waves, Proceedings of 16th International Conference on Information Fusion, 2013.
  • M. M. Saito, S. Imoto, R. Yamaguchi, S. Miyano, T. Higuchi, Estimation of abrupt changes in sentinel observation data of influenza epidemics in Japan, Proceedings of 16th International Conference on Information Fusion, 2013.
  • S. Nakano, A prediction algorithm with a limited number of particles for state estimation of high-dimensional systems, Proceedings of 16th International Conference on Information Fusion, pp. 1356-1363, 2013.

2012

  • M. M. Saito, S. Imoto, R. Yamaguchi, S. Miyano, T. Higuchi, Identifiability of local transmissibility parameters in agent-based pandemic simulation, Proceedings of 15th International Conference on Information Fusion, 2012.
  • H. Nagao and T. Higuchi, Data assimilation of the earth's atmospheric and ionospheric oscillations excited by large earthquakes, Proceedings of 15th International Conference on Information Fusion, 2012.
  • S. Nakano and T. Higuchi, Weight adjustment of the particle filter on distributed computing systems, Proceedings of 15th International Conference on Information Fusion, 2012.

2011

  • T. Higuchi, Embedding reality in a numerical simulation with data assimilation, Proceedings of 14th International Conference Fusion, 2011.
  • H. Nagao, N. Kobayashi, S. Nakano and T. Higuchi, Fault parameter estimation with data assimilation on infrasound variations due to big earthquakes, Proceedings of 14th International Conference Fusion, 2011.
  • M. Saito, S. Imoto, R. Yamaguchi, S. Miyano and T. Higuchi, Estimation of macroscopic parameter in agent-based pandemic simulation, Proceedings of 14th International Conference Fusion, 2011.

2010

  • K. Hayashi, M.M. Saito, R. Yoshida, T. Higuchi, Implementation of Sequential Importance Sampling in GPGPU, Proceedings of the 13th International Conference on Information Fusion, 2010.
  • H. Nagao, and T. Higuchi, Web application for time-series analysis based on particle filter available on cloud computing system, Proceedings of the 13th International Conference on Information Fusion, 2010.
  • S. Nakano, and T. Higuchi, A dynamic grouping strategy for implementation of the particle filter on a massively parallel computer, Proceedings of the 13th International Conference on Information Fusion, 2010.
  • S. Nakano, Population-based quasi-Bayesian algorithm for high-dimensional sequential problems and hierarchization of it for distributed computing environments, Proceedings of 2010 IEEE Congress on Evolutionary Computation, doi:10.1109/CEC.2010.5586535, 2010.

2009

  • K. Nakamura, R. Yoshida, M. Nagasaki, S. Miyano, and T. Higuchi, Parameter Estimation of In Silico Biological Pathways with Particle Filtering Towards a Petascale Computing, The Proceedings of 14th Pacific Symposium on Biocomputing, 227-238, 2009.

2008

  • T. Ishigaki, and T. Higuchi, Dynamic Spectrum Classification by Divergence-Based Kernel Machines and Its Application to the Detection of Worn-out banknotes, The Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP 2008), 1873-1876, 2008.
  • T. Ishigaki, and T. Higuchi, Parameter identification of a pressure regulator with a nonlinear structure using a particle filter based on the nonlinear state space model, The Proceedings of 11th International Conference of Fusion, 886-891, 2008.

2007以前

  • G. Ueno, T. Higuchi, T. Kagimoto, and N. Hirose,
    Prediction of ocean state by data assimilation with the ensemble Kalman filter,
    SCIS&ISIS 2006, 2006. [PDF]
  • K. Nakamura, T. Higuchi, and N. Hirose,
    Application of Particle Filter to Identification of Tsunami Simulation Model,
    SCIS&ISIS 2006, 2006. [PDF]
 



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