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Toshio Ohnishi Last modified date：2024.04.04

Professor / Department of Economic Engineering
Department of Economic Engineering
Faculty of Economics


Graduate School
Department of Economic Engineering
Graduate School of Economics


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Homepage
https://kyushu-u.elsevierpure.com/en/persons/toshio-ohnishi
　Reseacher Profiling Tool　Kyushu University Pure
Phone
092-802-5487
Academic Degree
Doctor of Philosophy
Country of degree conferring institution (Overseas)
No
Field of Specialization
Statistical Science
Total Priod of education and research career in the foreign country
01years06months
Outline Activities
1. An approach to Stein phenomenon in prediction problem from viewpoints of thermodynamics
2. Bayesian inference and statistical decision theory on a basis of shrinkage priors
3. Usage of weak prior information in Bayesian inference: Bayesian likelihood and aggregation of information
4. Bayesian Tweedie generalized linear model
Research
Research Interests
  • An approach to Stein phenomenon in prediction problem from viewpoints of thermodynamics
    keyword : Bayesian prediction, thermodynamics, convex function, Legendre transformation
    2020.04～2024.03.
  • A new development of Bayesian prediction from a viewpoint of thermodynamics
    keyword : Bayesian prediction, thermodynamics, convex function, Legendre transformation
    2017.04～2020.03.
  • A new development of Bayesian model averaging from a viewpoint of thermodynamics
    keyword : Bayesian model averaging, thermodynamics, convex function, Legendre transformation
    2014.04～2016.03.
  • Bayesian statistics in terms of saddlepoint equalities
    keyword : Bayesian statistics, saddlepoint equalities, convex function, Legendre transformation
    2011.04～2013.03.
  • Theoretical research on Bayesian generalized linear model
    keyword : Bayesian statistics; generalized linear model
    2010.04～2011.03.
  • Rainfall data analysis using Tweedie generalized linear model
    keyword : Tweedie distribution; generalized linear model; rainfall data
    2010.04～2011.03.
  • Linear mixed model based on conjugate location family
    keyword : Linear mixed model; location family; conjugacy
    2010.04～2011.03.
Academic Activities
Papers
 Show All Papers >>
1. Yozo Maruyama, Takeru matsuda, Toshio Ohnishi, Harmonic Bayesian prediction under alpha-divergence, IEEE Transactions on Information Theory, 10.1109/TIT.2019.2915245, 2019.04.
2. Takemi Yanagimoto, Toshio Ohnishi, Permissible boundary prior function as a virtually proper prior density, Annals of the Institute of Statistical Mathematics, 10.1007/s10463-013-0421-1, 2014.08.
3. Toshio Ohnishi, Takemi Yanagimoto, Twofold structure of duality in Bayesian model averaging, Journal of the Japan Statistical Society, http://dx.doi.org/10.14490/jjss.43.29, 43, 29-55, 2013.04.
4. Takemi Yanagimoto and Toshio Ohnishi, Saddlepoint condition on a predictor to reconfirm the need for the assumption of a prior distribution, Journal of Statistical Planning and Inference, 10.1016/j.jspi.2010.12.011, 141, 1990-2000, 2011.01.
5. Takemi Yanagimoto and Toshio Ohnishi, Bayesian prediction of a density function in terms of e-mixture, Journal of Statistical Planning and Inference, http://dx.doi.org/10.1016/j.jspi.2009.02.005, 139, 3064--3075, 2009.04.
6. Toshio Ohnishi and Takemi Yanagimoto, Conjugate location-dispersion families, Journal of the Japan Statistical Society, http://dx.doi.org/10.14490/jjss.37.307, 37, 307-325, 2007.04.
7. Takemi Yanagimoto and Toshio Ohnishi, Standardized posterior mode for the flexible use of a conjugate prior, Journal of Statistical Planning and Inference, http://dx.doi.org/10.1016/j.jspi.2004.02.004, 131, 253-269, 2005.04.
8. Takemi Yanagimoto and Toshio Ohnishi, Extensions of the conjugate prior through the Kullback-Leibler separators, Journal of Multivariate Analysis, http://dx.doi.org/10.1016/S0047-259X(03)00133-7, 92, 116-133, 2005.04.
9. Toshio Ohnishi and Takemi Yanagimoto, Electrostatic views of Stein-type estimation of location vectors, Journal of the Japan Statistical Society, http://dx.doi.org/10.14490/jjss.33.39, 33, 39--64, 2003.04.
Presentations
 Show All Presentations >>
1. Toshio Ohnishi, Dual roles of maximizing likelihood and Shannon entropy under alpha-divergence loss, The 4th Eastern Asia Meeting on Bayesian Statistics EAC-ISBA 2019, 2019.07.
2. Takemi Yanagimoto, Toshio Ohnishi, Conjugate Analysis under Jeffreys' Prior with its Implications to Likelihood Inference, Pioneering Workshop on Extreme Value and Distribution Theories In Honor of Professor Masaaki Sibuya, 2019.03, [URL].
3. Toshio Ohnishi, Takemi Yanagimoto, Duality between likelihood and entropy in Bayesian model averaging, International Statistical Institute Regional Statistics Conference, Kuala Lumpur, Malaysia, 2014.11.
4. Toshio Ohnishi, Duality between maximization of likelihood and Shannon entropy, The 8th Japanese-French Frontiers of Science Symposium, 2014.01.
5. Ohnishi Toshio, Yanagimoto Takemi, Peter Dunn, Dual saddlepoint equalities in model averaging and their implication, The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meetings, 2012.07.
Educational
Educational Activities
Applied Mathematics (From the 2nd semester, 2019),
Frontier Studies in Mathematical Statistics I, II (From the 2nd semester, 2018)


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