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• Stochastic-determinism approach for simulating the transition points in internal flows with various inlet disturbances

  Naitoh, K., Nakagawa, Y. & Shimiya, H., 2009 Jan 1, p. 671-676. 6 p.

  Research output: Contribution to conference › Paper › peer-review
  3 Citations (Scopus)

• Stochastic determinism for capturing the transition point from laminar flow to turbulence

  Naitoh, K. & Shimiya, H., 2011 Apr 1, In: Japan Journal of Industrial and Applied Mathematics. 28, 1, p. 3-14 12 p.

  Research output: Contribution to journal › Article › peer-review
  45 Citations (Scopus)

• Stochastic determinism underlying life: Systematic theory for assisting the synthesis of artificial cells and new medicines

  Naitoh, K., 2008 Dec 1, In: Artificial Life and Robotics. 13, 1, p. 10-17 8 p.

  Research output: Contribution to journal › Article › peer-review
  23 Citations (Scopus)

• Stochastic discrete first-order algorithm for feature subset selection

  Kudo, K., Takano, Y. & Nomura, R., 2020 Jul 1, In: IEICE Transactions on Information and Systems. E103D, 7, p. 1693-1702 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Citations (Scopus)

• Stochastic dominance representation of optimistic belief: Theory and applications

  Osaki, Y. & Quiggin, J., 2008 Dec, In: Economics Letters. 101, 3, p. 275-278 4 p.

  Research output: Contribution to journal › Article › peer-review

• Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model

  Nguyen-Hong, N. & Nakanishi, Y., 2017 Oct 26, 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 8086059

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Stochastic Eight-Vertex Model, its Invariant Measures and KPZ Limit

  Funaki, T., Nishijima, Y. & Suda, H., 2021 Jul, In: Journal of Statistical Physics. 184, 1, 11.

  Research output: Contribution to journal › Article › peer-review

• Stochastic expression of lactate dehydrogenase A induces Escherichia coli persister formation

  Yamamoto, N., Isshiki, R., Kawai, Y., Tanaka, D., Sekiguchi, T., Matsumoto, S. & Tsuneda, S., 2018 Jul, In: Journal of Bioscience and Bioengineering. 126, 1, p. 30-37 8 p.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• Stochastic Hamiltonian equation with uniform motion area

  Liang, S., 2013 Dec, In: Dynamic Systems and Applications. 22, 4, p. 557-590 34 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Stochastic interface models

  Funaki, T., 2005, Lectures on Probability Theory and Statistics: Ecole d'Ete de Probabilites de Saint-Flour XXXIII - 2003. Springer Verlag, p. 105-274 170 p. (Lecture Notes in Mathematics; vol. 1869).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  66 Citations (Scopus)

• Stochastic inventory control systems with consideration for the cost factors based on EBIT

  Nakashima, K., Sornmanapong, T., Ehm, H. & Yachi, G., 2014 Jan 1, In: International Journal of Supply Chain Management. 3, 3, p. 68-74 7 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Stochasticity of the step size in the force generating process due to a single myosin molecule

  Kagawa, Y. & Tsuchiya, Y., 2002 Mar, In: Bulletin of Mathematical Biology. 64, 2, p. 407-419 13 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Stochastic limit approximation for rapidly decaying systems

  Kimura, G., Yuasa, K. & Imafuku, K., 2001 Feb, In: Physical Review A - Atomic, Molecular, and Optical Physics. 63, 2, p. 22103-22101 3 p.

  Research output: Contribution to journal › Article › peer-review
  10 Citations (Scopus)

• Stochastic modeling of pause insertion using context-free grammar

  Fujio, S., Sagisaka, Y. & Higuchi, N., 1995 Jan 1, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 1, p. 604-607 4 p.

  Research output: Contribution to journal › Conference article › peer-review
  3 Citations (Scopus)

• Stochastic model of production and inventory control using dynamic bayesian network

  Shin, J. S., Lee, T. H., Kim, J. I. & Lee, H. H., 2008 Dec 1, In: Artificial Life and Robotics. 13, 1, p. 148-154 7 p.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Stochastic model of production and inventory control using dynamic Bayesian network

  Slim, J. S., Lee, T. H., Kim, J. I. & Lee, H. H., 2008 Dec 1, Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08. p. 405-410 6 p. (Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Stochastic model of traffic jam and traffic signal control

  Shin, J. S., Cui, C. Y., Lee, T. H. & Lee, H. H., 2011, In: IEEJ Transactions on Electronics, Information and Systems. 131, 2, p. 303-310 8 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Stochastic model predictive control of residential fuel cell cogeneration unit with periodic forecast update for distributed architecture

  Yoshida, A., Yoshikawa, J., Fujimoto, Y., Amano, Y. & Hayashi, Y., 2017.

  Research output: Contribution to conference › Paper › peer-review

• Stochastic nature of gravitational waves from supernova explosions with standing accretion shock instability

  Kotake, K., Iwakami, W., Ohnishi, N. & Yamada, S., 2009, In: Astrophysical Journal. 697, 2 PART 2, p. L133-L136

  Research output: Contribution to journal › Article › peer-review
  67 Citations (Scopus)

• Stochastic Newton equation in strong potential limit

  Liang, S., 2016 Oct 1, In: Stochastic Processes and their Applications. 126, 10, p. 2913-2955 43 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Stochastic node caching for memory-bounded search

  Miura, T. & Ishida, T., 1998 Jan 1, p. 450-456. 7 p.

  Research output: Contribution to conference › Paper › peer-review
  10 Citations (Scopus)

• Stochastic Node Caching for Memory-Bounded Search

  Miura, T. & Ishida, T., 1999 Feb, In: Systems and Computers in Japan. 30, 2-3, p. 57-65 9 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Stochastic Nonlinear Programming Model for Power Plant Operation via Piecewise Linearization

  Fukuba, T., Sato, T., Shiina, T. & Tokoro, K., 2019 Dec, 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019. IEEE Computer Society, p. 586-590 5 p. 8978496. (IEEE International Conference on Industrial Engineering and Engineering Management).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Stochastic number duplicators based on bit re-arrangement using randomized bit streams

  Ishikawa, R., Tawada, M., Yanagisawa, M. & Togawa, N., 2018 Jul 1, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E101A, 7, p. 1002-1013 12 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Stochastic optimal control for traffic signals of asymmetrical intersection

  Cui, C., Lee, H. & Xu, C., 2015 Jul 1, In: Artificial Life and Robotics. 20, 2, p. 190-195 6 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Stochastic phenomena of synchronization in ensembles of mean-field coupled limit cycle oscillators with two native frequencies

  Okumura, K., Ichiki, A. & Shiino, M., 2010 Dec, In: Europhysics Letters. 92, 5, 50009.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Stochastic programming for energy plant operation

  Fukuba, T., Shiina, T. & Tokoro, K. I., 2019, Theory and Applications of Models of Computation - 15th Annual Conference, TAMC 2019, Proceedings. Gopal, T. V. & Watada, J. (eds.). Springer Verlag, p. 208-221 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11436 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Stochastic Programming Model for Lateral Transshipment Considering Rentals and Returns

  Kadota, K., Sato, T. & Shiina, T., 2022, Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021. Le Thi, H. A., Le, H. M., Le Thi, H. A. & Pham Dinh, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 158-169 12 p. (Lecture Notes in Networks and Systems; vol. 363 LNNS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Stochastic programming model for power generation

  Shiina, T., 2011 Jun 1, In: World Academy of Science, Engineering and Technology. 78, p. 934-939 6 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Stochastic programming problem wit fixed charge recourse

  Shiina, T., Tagaya, Y. & Morito, S., 2007 Dec, In: Journal of the Operations Research Society of Japan. 50, 4, p. 299-314 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Stochastic programming with binary second stage variables

  Shiina, T., 2010, In: Procedia Computer Science. 1, 1, p. 1407-1416 10 p.

  Research output: Contribution to journal › Article › peer-review

• STOCHASTIC PROPERTIES OF NEURONS WITH SHUNT TYPE INHIBITION.

  Matsuyama, Y., Shirai, K. & Akizuki, K., 1974 Jul, Syst Comput Controls. 4 ed. Vol. 5. p. 26-33 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Stochastic quantization of bottomless systems - Stationary quantities in a diffusive process

  Yuasa, K. & Nakazato, H., 1999 Oct, In: Progress of Theoretical Physics. 102, 4, p. 719-727 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs

  Yoshida, A., Yoshikawa, J., Fujimoto, Y., Amano, Y. & Hayashi, Y., 2018 Jan 1, In: Energy and Buildings. 158, p. 1632-1639 8 p.

  Research output: Contribution to journal › Article › peer-review
  10 Citations (Scopus)

• Stochastic regression model with dependent disturbances

  Choy, K. & Taniguchi, M., 2001 Mar, In: Journal of Time Series Analysis. 22, 2, p. 175-196 22 p.

  Research output: Contribution to journal › Article › peer-review
  8 Citations (Scopus)

• Stochastic resonance can enhance information transmission of supra-threshold neural signals

  Kawaguchi, M., Mino, H., Momose, K. & Durand, D. M., 2009 Jan 1, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, p. 6806-6809 4 p. 5333973. (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Stochastic resonance can enhance information transmission of supra-threshold neural signals.

  Kawaguchi, M., Mino, H., Momose, K. & Durand, D. M., 2009, In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. p. 6806-6809 4 p.

  Research output: Contribution to journal › Article › peer-review

• Stochastic resonance in an on-off ratchet

  Matsumoto, T. & Aizawa, Y., 2006 Mar 22, In: Journal of Physics: Conference Series. 31, 1, p. 189-190 2 p.

  Research output: Contribution to journal › Article › peer-review

• Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models

  Kawaguchi, M., Mino, H., Momose, K. & Durand, D. M., 2011 Dec 26, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. p. 7328-7331 4 p. 6091709. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Stochastic search of molecular cluster interaction energy surfaces with coupled cluster quality prediction. The phenylacetylene dimer

  Addicoat, M. A., Nishimura, Y., Sato, T., Tsuneda, T. & Irle, S., 2013 Aug 13, In: Journal of chemical theory and computation. 9, 8, p. 3848-3854 7 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Stochastic simulation of biological reactions, and its applications for studying actin polymerization

  Ichikawa, K., Suzuki, T. & Murata, N., 2010 Dec, In: Physical Biology. 7, 4, 046010.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Stochastic stability of the Ekman spiral

  Hieber, M. G. & Stannat, W., 2013, In: Annali della Scuola Normale - Classe di Scienze. 12, 1, p. 189-208 20 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Stochastic unit commitment considering Markov process of wind power forecast

  Nguyen-Hong, N. & Nakanishi, Y., 2017 Dec 12, 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-January. p. 348-353 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Stochastic unit commitment problem

  Shiina, T. & Birge, J. R., 2004 Jan, In: International Transactions in Operational Research. 11, 1, p. 19-32 14 p.

  Research output: Contribution to journal › Article › peer-review
  65 Citations (Scopus)

• Stochastic unit commitment problem in electricity market

  Mikami, R., Shiina, T. & Tokoro, K. I., 2020 Dec 5, 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020. Institute of Electrical and Electronics Engineers Inc., 9322676. (2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Stochastic Variance Reduced Multiplicative Update for Nonnegative Matrix Factorization

  Kasai, H., 2018 Sep 10, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6338-6342 5 p. 8461325. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Stock index futures arbitrage in the Japanese markets

  Brenner, M., Subrahmanyam, M. G. & Uno, J., 1989 Jul, In: Japan and The World Economy. 1, 3, p. 303-330 28 p.

  Research output: Contribution to journal › Article › peer-review
  12 Citations (Scopus)

• Stock liquidity premium on the Tokyo stock exchange

  Zhong, X. & Takehara, H., 2020, In: Journal of Critical Reviews. 7, 12, p. 14-28 15 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access
  1 Citation (Scopus)

• Stock market listing and corporate policy: Evidence from reforms to Japanese corporate law

  Orihara, M., 2017 Jun 1, In: Pacific Basin Finance Journal. 43, p. 15-36 22 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Stock market trend prediction with sentiment analysis based on LSTM neural network

  Jiawei, X. & Murata, T., 2019, In: Lecture Notes in Engineering and Computer Science. 2239, p. 475-479 5 p.

  Research output: Contribution to journal › Conference article › peer-review
  5 Citations (Scopus)