List of Proceeding Papers by Genshiro Kitagawa

List of Proceedings Papers by Genshiro Kitagawa


1976-1979

  • On the manual control of a second-order system. Proceedings of the 25th Japan National Congress for Appl. Mech., 1975 ed., Science Council of Japan, University of Tokyo Press, Vol. 25 (1977) 3-11 (with H.Kimura, N.Goto, N.Morizumi and S.Fukuda)

  • On the prediction and stochastic control of ship's motion. Proceedings of the 2nd IFAC/IFIP Symposium, (1976) 69-76 (Published in revised form in Automatica, Vol.15, No.3 (1979) (with K.Otsu and M.Horigome)

  • The stochastic control of ship's course keeping motion. Stochastic Problems in Dynamics, ed. B.L.Clarkson, PITMAN (1977) 551-558 (with K.Otsu)

  • On the identification of ship's steering dynamics. Stochastic problems in dynamics, ed. B.L.Clarkson, PITMAN (1977) 559-566

  • An advanced ship's autopilot system by a stochastic model. Proceedings of the Fifth Ship Control System Symposium, Vol. 1 (1978) c2-1 -- 11 (with K.Ohtsu, M.Horigome and M.Hara)

  • Microprocessor based AR autopilot system for ship's steering. Proceedings of the Third Internatinal Symposium on Ship Operation Automation (1979) 109-117 (with M.Horigome, M.Hara and K.Ohtsu)

  • A robust autopilot system against the various sea conditions; --Noise Adaptive Autopilot--. Proceedings of the Third International Symposium on Ship Operation Automation, (1979) 119-124 (with K.Ohtsu and M.Horigome)


1980 - 1984

  • On TIMSAC-78, Second Time Series Analysis Symposium, Tulsa, U.S.A., March (1980)

  • A smoothness priors approach to the modeling of time series with trends and seasonalities. Proceedings of the Business and Statistics Section, the Annual Meeting of the American Statistical Association, Cincinnati, Ohio, Aug. 16-19, (1982) 403-408 (Published in revised form in JASA, Vol.79, No.386 (1984) (with W.Gersch)

  • State Space Modeling of Nonstationary Time Series and Smoothing of Unequally Spaced Data, Symposium on Time Series Analysis of Irregularly Observed Data, College Station, U.S.A., Feb. (1983)

  • Nonstationary Time Series Models for the Analysis of Seismic Waves, Annual Meeting of Seismological Society of Japan, Tokyo, Japan, Sept. (1983)

  • An approach to the prediction of time series with trend and seasonality. 21st Conference on Decision and Control, Frolida, (1982) xxx-xxx. (Published in revised form in JBES, Vol.1, No.3 (1983) (with W.Gersch)

  • State Space Modeling of Nonstationery Time Series and Smoothing of Unequally Spaced Data. Symposium on Time Series Analysis of Irregularly Observed data, College Station, U.S.A., Feb. (1983)

  • Spectral estimation: a smoothness priors-long AR model method. Proceedings of the 1983 Conference on Information Sciences and Systems, Baltimore, (1983) xxx-xxx (Published in revised form in IEEE AC-32, No.1 (1985) (with W. Gersch)

  • Nonstationary covariance AR coefficient modeling: a smoothing priors time varying AR coefficient model. Proceedings of the 1983 Conference on Information Sciences and Systems, Baltimore, (1983) xxx-xxx (published in revised form in IEEE AC-32, No.1 (1985) (with W.Gersch)

  • A smoothness priors-state space method for the prediction of time series, International Symposium on Forecasting, Philadelphia, (1983), (Published in revised form in Journal of Business and Economic Statistics, Vol.1, No.3 (1983) (with W.Gersch)

  • A multivariate time varying autoregressive modeling of economic time series, Proceedings of the Business and Statistics, 1983 ASA Annual Meeting, Toronto, (1983) 399-404 (with W.Gersch)

  • A multivariate time varying autoregressive modeling of nonstationary covariance time series, 22nd IEEE Conference on Decision and Control, San Antonio, (1983) (with W.Gersch and A.Gevins)

  • Automatic Steering of a ship by Time Series Model, Stochastic Symposium, May (1984) (with K. Ohtsu)

  • Statistical analysis of ship's stochastic controller. Statistical Time Series Analysis, Proceedings of Japan-U.S. Joint Seminor, May 21-25, Tokyo, (1984) 77-94 (with K.Ohtsu)

  • A smoothness priors method for transfer function estimation. 23rd IEEE Conference on Decision and Control, Las Vegas, Dec. 12-14, (1984), xxx-xxx. (Published in revised form in Automatica, Vol.25, No.4 (1989) (with W.Gersch)


1985 - 1989

  • Smoothing by Non-Gaussian Time Series Model, Symposium on Digital Signal Procession in Measurement and Control, Hamanako, Japan, Oct. (1985)

  • Non-Gaussian smoothness prior approach to irregular time series analysis. Adaptive Systems in Control and Signal Processing 1986, Proceedings of the 2nd IFAC Workshop, Lund, Jul. 1-3, (1986) 303-308

  • Analysis if Outliers based on Akaike Information Criterion, 8th Symposium of Applied Statistics Society, Tokyo, Japan, Nov. (1986)

  • Numerical approach to non-Gaussian smoothing. Proceedings of the Second Japan-China Symposium on Statistics, Fukuoka, Nov. 4-10, (1986) 133-136

  • Spectral Analysis of Time Fluctuation of Cygnus X-1, 1986 Symposium on Space Science, Feb. (1987)

  • Non-Gaussian Smoothing for the Analysis of Nonstationary or Nonlinear System, 18th NIBB Conference on Information Processing in Neuron Network, Okazaki, Japan, Feb. (1987)

  • Non-Gaussian state space modeling of time series, Proceedings of the 26th IEEE Conference on Decision and Control, Los Angeles, Dec. (1987) 1700-1705

  • Non-Gaussian State Space Modeling of Nonstationary Time Series, 1987 Joint Statistical Meetings, San Francisco, U.S.A., Dec. (1987)

  • Numerical approach to non-Gaussian smoothing and its applications, Computing Science and Statistics, Proceedings of the 20th Symposium on the Interface, ed. E.J. Wegman, D.t. Gantz and J.J. Miller, Fairfax, Virginia, (1988) 379-388

  • Non-Gaussian State Space Modeling of Time Series. Proceedings of the Business & Statistics, Annual Meeting of the American Statistical Association, Washington, D.C., Aug. 6--10 (1989)

  • A smoothing approach to nonlinear time series analysis, Proceeding of the Symposium on the Analysis of Statistical Information, Tokyo, Dec. 5-8 (1989) 307-336


1990 - 1994

  • Application of Statistical Method to Control, International Conference on Accelerator and Large Experimental Physics Control Systems, Tsukuba, Japan, Nov. (1991)

  • Analysis of Underground Water Level Data - Application of Non-Gaussian Time Series Models, Annual Meeting of Applied Statistics Society, Tokyo, Japan, Nov. (1991)

  • Extraction of microearthquake signals recorded by the seismic network on Mt. Erebus, Ross Islans, Antarctica, Proceedings of NIPR Symposium on Antarctic Sciences, Vol. 5 (1991) 46-52 (with T. Takanami)

    State Space Modeling of Time Series, The First US/Japan Conference on the Frontiers of Statistical Modeling, Knoxvill, U.S.A., May (1992)

  • State Space Modeling of Time Series and Some Applications to Climatological Data, Proceedings of 5th International Meeting on Statistical Climatology, Toronto, June 22-26 (1992) 145-150

  • Time Varying VAR Modeling of Nonstationary Time Series, US-Japan Joint Seminar on Statistical Time Series Analysis, Honolulu, U.S.A., Jan.(1993)

  • A Monte Carlo Filterig and Smoothing Method for Non-Gaussian Nonlinear State Space Models, US-Japan Joint Seminar on Statistical Time Series Analysis, Honolulu, U.S.A., Jan.(1993) pdf

  • Monte Carlo Filtering and Smoothing Method for Non-GAussian Nonlinear State Space Models, International Symposium on Exploration of Informational Aspects of Bayesian Statistics, Fuji-Yoshida, Japan, Dec. 22 (1993)

  • Statistics based on Intensive Use of Computers, Symposium of Statistical Science, Tokyo, Japan, Jul. 20 (1994)


1995 - 1999

  • 17th Symposium of Applied Statistical Society. Tokyo, Japan, Oct. 17 (1995)

  • Statistical Modeling of Time Series and Extraction of Information. 20th symposium on Mathematical Sociology, Tokyo, Japan, Dec. 22 (1995)

  • Time Series Analysis Based on Computer Intensive Method, Japanese Society of Statistical Computing, Hiroshima, May 17 (1996)

  • Monte Carlo Methods for the Estimation and Selection of Time Series Models. Sydney International Statistical Congress, 28th Symposium on the Interface, Sydney, Australia, Jul. 7 (1996)

  • Self-tuned model for seasonal adjustment. Joint Statistical Meetings, Chicago, U.S.A., Aug. 7 (1996)

  • Self-tuning of state space model. 4th World Meeting of International Society of Bayesian Analysis, Cape Town, South Africa, Dec. 20 (1996)

  • Bootstrap methods for model selection. 2nd World Conference of the IASC, Pasadena, U.S.A., Feb. 20 (1997) (with S. Konishi)

  • Monte Carlo Filter and Its Application to Stochastic Volatility Models. 1997 IMS Asian and Pacific Regional Meeting, Taipei, Taiwan, Jul. 8 (1997) (with S. Sato)

  • Signal Extraction Problems in Seismology. 51st Session of the International Statistical Institute, Istanbul, Turkey, Aug. 23 (1997)

  • Monte Carlo Filtering and Smoothing for Nonlinear Non-Gaussian State Space Model. 29th INternational Symposium on Stochastic Systems Theory and its Application, Tokyo, Japan, Nov. 11 (1997)

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  • Nonlinear State Space Model Approach to Financial Time Series with Time-Varying Variance. International Workshop on Statistics in Finance, Hong Kong, China, Jul. 8 (1999) (with S. Sato)

  • Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data. Discovery Science 99, Tokyo, Dec. 8 (1999) (with T. Higuchi and F. Kondo)

  • Discussion of the Paper by J. Durbin and S. J. Koopman. Journal of the Royal Statistical Society, Series B, Vol.62, Part 1, (1999) 46

  • Statistical Model Evaluation by Generalized Information Criteria -Bias and Variance Reduction Techniques-, Bulletin of the International Statistical Institute, 52nd Session, Helsinki, August 10-18, (1999) 485-488 (with S. Konishi)

  • Bayesian State Space Modeling for Nonlinear Nonstationary Time Series, Proceedings of International Workshop on Soft Computing in Industry '99, IWSCI99, Muroran, June 16-18, (1999) 177-182

  • Information Criteria -AIC, GIC and EIC -, Proceddings of 1999 Workshop on Information-Based Induction Sciences (IBIS'99) August 26-27, (1999), Syuzenji, 175-180 (with S. Konishi)

  • Information Criteria GIC, EIC and Some Modifications, Abstracts The 31st International Symposium on Stochastic Systems Theory and Its Applications, (SSS99), November 11-12, Yokohama, (1999) 39-40 (with S. Konishi)

  • Study of arrival time and energy fluctuations due to differnt scale of heterogenieties, Ͽ̳ (1999) (with C. Sivaji and O. Nishizawa)

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  • Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data, Discovery Science, Lecture Notes in Artificial Intelligence 1721, eds. S. Arikawa and K. Furukawa, Springer-Verlag (1999) 230-241 (with T. Higuchi and F. Kondo)


2000-2004

  • Fluctuations of Arrival time and Energy of P-Wave: Characterization of Random Heterogeneity, AGU 2000 Spring Meeting, Washington DC, May 31 (2000) (with C. Sivaji, O. Nishizawa, Y. Fukushima and Z. Xue)

  • General State Space Modeling and Self-organizing Representation, Proceedings of 2000 Workshop on Information Based Induction Sciences, Shuzenji, July 18 (2000), 301-306

  • Computational Implementation of Nonlinear Non-Gaussian Prediction and Filtering Formulas, The Tenth Japan and Korea Joint Conference of Statistics, Decenber 4 (2000) 31-40

  • Smoothness Priors and Sequential Computations in Time Series Modeling, Sencond International Symposium on Frontiers of Time Sereis Modeling, Nara, December 15 (2000)

  • Discovery of competitive structure in brand substitution and category expansion caused by price promotion, Proceedings of SCI 2001, July (2001), 171-178 (with Fumiyo N. Kondo)

  • General state space modeling and its applications to financial/economic time series, Newton Institute, Cambridge, England, Augaust 8, 2001

  • Self-organizing state space models for signal extraction & decomposition, Carnegie Mellon University, Pittsburgh, U.S.A., Novenber 7, 2001

  • Workshop on time seriws analysis and applications to geophysical systems institute of mathematics and its applications, State Space Approach to Signal Extraction Problems in Seismology, Minneapolis, USA, November 15, 2001

  • General state space modeling for complex time series, Stochstic Processes and Statistica Asymptotic Theory, Tokyo, Japan, December 5, 2001

  • General state space modeling for signal extraction problems in seismology, New Trend on Optimization and Computational Algorithem (NTOC2001), Kyoto, Japan, December 10, 2001

  • Monte Carlo method for seasonal adjustment and quasi-periodic modeling, The 3rd International Symposium on Frontier of Time Series Modeling, Modeling Seasonality and Periodicity, Tokyo, Japan, February 1, 2002

  • Computational methods for time series analysis, Compstat, Berlin, Germany, Augasut 24, 2002

  • State space modeling for signal extraction problems in seismology, Academy Colloquim, Amsterdam, Netherlands, Augast 31, 2002 (with Takanami, T. and Matsumoto, N.)

  • Statistical modeling approach to signal extraction problems in seismology, 6th SEGJ International Symposium, Tokyo, Japan January 22, 2003 (with Takanami, T. and Matsumoto, N.)

  • A new method to discrimination between water waves and reflected and/or refracted waves in OBS data, 12th International Workshop, Commission on Controlled-Source Seismology, Virginia, U.S.A., October 11 2003, Abstruct of 12th CCSS (with Takanami, T.)

  • Signal extraction and knowledge discovery based statistical modeling, 6th International Conference, Discovery Science 2003, Sapporo, Japan, October 17-19 2003, DS 2003, LNAI 2843, 21-32

  • Signal extraction and knowledge discovery based statistical modeling, 14th International Conference, Algorithmic Learnibg Theory, Sapporo, Japan, October 17-19 2003, ALT 2003, LNAI 2842, 3-14

  • Discovery of information flow in multivariate dynamic systems, 2nd IASTED International Conference Information and Knowledge Sharing, Scottsdale, U.S.A. November 17-19 2003, Information and Knowledge Sharing, 132-137 (with Tanokura, Y.)

  • An overview of the information criteria, Science of Modeling, Yokohama, Japan, December 14-17 2003, Science of Modeling, 11-18 (with Konishi, S.)

  • Recent Development of information criteria Science of Modeling, Yokohama, Japan, December 14-17 2003, Science of Modeling, 30-47 (with Konishi, S.)

  • Modeling influential correlated noise sources in multivariate dynamic systems, Modeling and Simulation 2004, Los Angeles, U.S.A., March 1-3 2004, Modeling and Simulation, 19-24 (with Tanokura, Y.)


2005-2009


2010-2014

  • Peng, H., Ohtsu, K., Kitagawa, G., Oda, H. (2010, September). A statistical modeling and tracking control approach to marine vehicle. In Control Applications (CCA), 2010 IEEE International Conference on (pp. 640-645). IEEE.

  • Takanami, T., Linde, A. T., Sacks, S. I., Kitagawa, G., Peng, H. (2010, December). Slow Slip Following the 2003 Tokachi-oki M8 Earthquake off Hokkaido. In AGU Fall Meeting Abstracts (Vol. 1, p. 0825).

  • Terada, D., & Kitagawa, G. (2010, January). Study on a Stability Judgment System Based on Time Series Analysis. In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering (pp. 549-556). American Society of Mechanical Engineers.

  • Takanami, T., Hirata, N., Kitagawa, G., Kamigaichi, O., Linde, A. T., Sacks, S. I. (2011). State Space Approach to Extraction of Genuine Strain Signal. AGU Fall Meeting Abstracts (Vol. 1, p. 0867).

  • Takanami, T., Hirata, N., Kitagawa, G., Kamigaichi, O., Linde, A. T., Sacks, S. I. (2012). A strain behavior before and after the 2009 Suruga-Bay earthquake (M6. 5) in Tokai, Japan. AGU Fall Meeting Abstracts (Vol. 1, p. 0935).

  • Kyo, K., Noda, H., & Kitagawa, G. (2012, May). Bayesian estimation of dynamic matching function for UV analysis in Japan. In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (Vol. 1443, No. 1, pp. 354-361). AIP Publishing.

  • Peng, H., Wu, J., Ohtsu, Kitagawa, G., Miyoshi, S., Oda, H., Oda, M. (2013, September) Ship modeling and tracking control based on RBF-ARX model, 9th IFAC Conference on Control Applications in Marine Systems The International Federation of Automatic Control September 17-20, 2013. Osaka, Japan

  • Takanami, T., Hirata, N., Peng, H., Kitagawa, G., Kamigaichi, O., Linde, A. T., Sacks, S. I. (2013). A variety of strain changes in the anticipated Tokai earthq uake area. AGU Fall Meeting Abstracts (Vol. 1, p. 0742).

  • Tanokura, Y., Tsuda, H., Sato, S., Kitagawa, G. (2013, August). Index Development for a Market with Heavy-tailed Distributions. In The proceedings of the 59th International Statistical Institute World Statistics Congress, Hong Kong (pp. 3469-3474).

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Updated October 23, 2015