Yoshiyuki Ninomiya | Last modified date：2017.09.17 |

Graduate School

Undergraduate School

E-Mail

Academic Degree

Ph. D.

Field of Specialization

Statistics

Outline Activities

For statistical models and estimation methods to which conventional statistical theory cannot be applied, I develop an asymptotic theory peculiar to them and propose a model selection method base on it. In addition, using the developed techniques, I treat multiple testing problems.

Research

**Research Interests**

- Developing information criteria for propensity score analysis

keyword : information criterion, propensity score analysis

2016.06. - Developing AIC for sparse regularization methods

keyword : AIC, sparse regularization

2013.11. - A new p-value adjustment using spurious correlations

keyword : p-value adjustment, spurious correlation

2013.05. - A p-value evaluation for highly correlated multiple testing

keyword : geometrical approach, p-value adjustment

2007.12. - Model selection for exploratory factor analysis

keyword : AIC, factor analysis, likelihood ratio test

2007.07. - Developing AIC for change-point analysis

keyword : AIC, change-point analysis

2005.05. - Developing a tube method for change-point analysis

keyword : change-point analysis, tube method

2004.05.

**Academic Activities**

**Papers**

1. | Baba, T., Kanemori, T., Ninomiya, Y., A Cp criterion for semiparametric causal inference, Biometrika, accepted, 2017.09. |

2. | Ninomiya, Y., Kawano, S., AIC for the LASSO in generalized linear models, Electronic Journal of Statistics, 10, 2537-2560, 2016.09. |

3. | Ninomiya, Y., Change-point model selection via AIC, Annals of the Institute of Statistical Mathematics, 67, 2015.10. |

4. | Ninomiya, Y., Yoshimoto, A., Statistical method for detecting structural change in the growth process, Biometrics, 64, 2008.03. |

5. | Ninomiya, Y., Fujisawa, H., A conservative test for multiple comparison based on highly correlated test statistics, Biometrics, 63, 2007.12. |

6. | Ninomiya, Y., Construction of conservative testing for change-point problems in two-dimensional random fields, Journal of Multivariate Analysis, 89, 2, 2004.05. |

Educational

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