Kyushu University Academic Staff Educational and Research Activities Database
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Yoshihiko Maesono Last modified date:2018.07.09



Graduate School
Undergraduate School


E-Mail
Homepage
http://www2.math.kyushu-u.ac.jp/~maesono/maesonoHP/
My profile and list of papers and books are given. .
Phone
092-802-4480
Fax
092-802-4405
Academic Degree
Doctor of Science
Country of degree conferring institution (Overseas)
No
Field of Specialization
Mathematical Statistics
Total Priod of education and research career in the foreign country
02years08months
Outline Activities
I mainly study the asymptotic theory of statistical inferences and its applications to economic data. I also study resampling mehtods (jakknife and bootstrap) theoretically.

From 1996 to 1997, I was a member of the Japan-Australian joint research "Computer intensitive statistics: Biostatistics and its mathematics" sponsored by Japan Society for the promotion of science.

I teach both undergraduate and graduate students mathematical statistics. I also teach first course mathematics.

I am Editorial board members of two international and one domestic journals. I am also Editor-in-Chief of the international journal.
Research
Research Interests
  • Improvement of statistical inference based on combination of several nonparametric method
    keyword : Nonparametric, asymptotic theory, kernel estimator
    2016.04~2020.03.
  • Improvement of smooth nonparametric statistical inference with higher order efficiency and its applications
    keyword : smoothing method, nonparametric test, kernel method
    2015.04~2018.03.
  • Improvement of smooth nonparametric statistical inference with higher order efficiency and its applications
    keyword : smoothing method, nonparametric inference, kernel method
    2012.04~2015.03.
  • Asymptotic theory of statistical inference based on kernel methods
    keyword : kernel method, nonparametric
    2010.03~2013.12.
  • Study of the Higher Order Efficiency based on Resampling Methods and its Applications
    keyword : Resampling methods, asymptotic theory
    2009.04~2012.03.
  • Study of Precise Information Abstraction based on the Nonparametric Statistical Inference and Applications
    keyword : Nonparametric inference, Information
    2009.04~2013.03.
  • Improvement of nonparametric inference for cmplex statistical model and its applications
    keyword : cmplex statistical model, nonparametoric, resampling method
    2004.04Nonparametric statistical inference for complex statistical medels..
  • Depelopment of the statistical methods, which control risks come from random events.
    keyword : Value at Risk, kernel method, linear combination of order statistics
    2004.01~2004.12Research of statistical methods for risk management based on stchastic data..
  • Computer intensive statistical inference.
    keyword : resampling method, bootstrap, jackknife estimate
    1997.04~2003.03Statistical inference based on computer intensive method.
  • Asymptotic theory of nonparametric statistical inference
    keyword : nonparametric, asymptotic expanstion, Edgeworth expansion
    1984.04~2004.12Asymptotic theory of nonparametric statistical inference.
Current and Past Project
  • We study several methods of nonparametric inference precisely, and combining these methods, we will modify them and propose new inference methods. We also establish theoretical properties of them.
  • On study for improvement of the nonparametric statistical inference.
  • Central limit theorem for random sequence of Hilbert space values and its application to the asymptotic theory of symmetric statistics.
  • On study for improvement of the nonparametric statistical inference.
  • Inprovement of nonparametric statistical inference under complex statistical models and its application.
  • Research of the controled Markov chain under non-additive criterion.
Academic Activities
Papers
1. Yoshihiko Maesono, Spiridon Penev, Improved confidence intervals for quantiles, Annals of the Institute of Statistical Mathematics, 167-189, 2013.02, We derive the Edgeworth expansion for the studentized version of the kernel quantile estimator. Conditions on the kernel are formulated that allow us to get the correct expansion. Inverting the expansion allows us to get very accurate confidence intervals for the $p$-th quantile under general conditions. The results are applicable in practice to improve inference for quantiles when sample sizes are moderate..
2. Yoshihiko Maesono, Edgeworth Expansion and Normalizing Transformation of Ratio Statistics and their Application, Communications in Statistics-Theory and Methods, 39, pp.1344-1358, 2010.03.
3. Nonparaemtric of higher order moments.
4. Yoshihiko Maesono, Asymptotic representations of ratio statistics and their mean squared errors, Journal of the Japan Statistical Society, Vol.35, pp.73-97, 2005.08.
5. Yoshihiko Maesono, Higher Order Comparisons of Asymptotic Confidence Intervals, Journal of Statistical Planning and Inference, 10.1016/j.jspi.2004.02.009, 133, 2, 359-379, Vol.133, pp.359-379, 2005.01.
6. Yoshihiko Maesono, Asymptotic representations of skewness estimators of studentized U-statistics, Bulletin of Informatics and Cybernetics, Vol.36, pp.91-104, 2004.01.
7. A weighted-bootstrap approach to bootstrap iteration..
8. Improvement of the normal approximation of U-statistics and its comparison..
9. Yoshihiko Maesono, Spiridon, I.. Penev, Higher order relations between Cornish-Fisher expansions and inversions of saddlepoint approximations, Journal of the Japan Statistical Society, Vol. 28, pp.21-38, 1998.01.
Presentations
1. Jackknife estimation of higher order moments.
2. Edgeworth expansion for a studentized kernel quantile estimator.
Membership in Academic Society
  • Japan Statistical Society
  • The Mathematical Society of Japan
  • Japanese Society of Applied Statistics
  • Japanese Association of Financial Economics and Engineering
  • Association of Statistical Sciences
  • Institute of Mathematical Statistics
  • International Statistical Institute
  • Bernoulli Society
Educational
Educational Activities
I teach elementary course of mathematical statistics for undergraduate student. I have published a text book for undergraduate student. For graduate student, I use a text book of financial engineering and teach a statistcial inference for risk assesment.
I have also publised a book entitled Statistical asympotic theory, that is suitable for graduate students and researchers.
Social
Professional and Outreach Activities
Lecturer of a seminar of quality control and standadization, that is hold by Japan Standards Association..