大森裕浩

人物經歷

昭和60年3月東京大學經濟學部畢業

平成4年8月米國威斯康星大學麥迪遜分校大學院統計學部　博士畢業

平成4年9月米國俄亥俄州立大學哥倫布分校統計學部專任講師（Instructor）

平成5年7月千葉大學法經學部專任講師

平成6年10月千葉大學法經學部助教授

平成8年4月東京都立大學經濟學部助教授

平成13年4月東京都立大學經濟學部教授

平成13年10月東京大學大學院經濟學研究科助教授

平成19年4月東京大學大學院經濟學研究科　準教授

平成21年7月東京大學大學院經濟學研究科　教授

研究論文

Yuta Yamauchi and Yasuhiro Omori (2020), “Multivariate stochastic volatility model with realized volatilities and pairwise realized correlations,” Journal of Business & Economic Statistics, 38-4, 839-855. October 2020. DOI:10.1080/07350015.2019.1602048
Yuta Kurose and Yasuhiro Omori (2020), “Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity,” Econometrics and Statistics, 13, 46-68. January 2020. DOI:10.1016/j.ecosta.2018.03.003
Koji Miyawaki, Yasuhiro Omori and Akira Hibiki (2018), “Discrete/Continuous choice model on the nonconvex budget set,” Econometric Reviews, 37-2, 89-113. January 2018. DOI:10.1080/07474938.2015.1032166
Shinya Sugawara and Yasuhiro Omori (2017), “An econometric analysis of insurance markets with separate identification for moral hazard and selection,” Computational Economics, 50-3, 473–502. October 2017. DOI:10.1007/s10614-016-9594-z
Shinichiro Shirota, Yasuhiro Omori, Hedibert. F. Lopes and Haixiang Piao (2017), “Cholesky realized stochastic volatility model,” Econometrics and Statistics, 3, 34-59. July 2017 DOI: 10.1016/j.ecosta.2016.08.003
Jouchi Nakajima, Tsuyoshi Kunihama and Yasuhiro Omori (2017), “Bayesian modeling of dynamic extreme values: Extension of generalized extreme value distributions with latent stochastic processes,” Journal of Applied Statistics, 44-7, 1248—1268. April 2017. DOI:10.1080/02664763.2016.1201796.
Tsunehiro Ishihara and Yasuhiro Omori (2017), “Portfolio optimization using dynamic factor and stochastic volatility: evidence on fat-tailed error and leverage,” Japanese Economic Review, 68-1, 63-94. March 2017. DOI: 10.1111/jere.12114
Yuko Onishi and Yasuhiro Omori (2016), “Bayesian estimation of entry games with multiple players and multiple equilibria,” Japanese Economic Review, 67-4, 418–440. December 2016. DOI: 10.1111/jere.12108
Yuta Kurose and Yasuhiro Omori (2016), “Dynamic equicorrelation stochastic volatility,” Computational Statistics and Data Analysis, 100, 795-813. August 2016. DOI:10.1016/j.csda.2015.01.013
Tsunehiro Ishihara, Yasuhiro Omori and Manabu Asai (2016), “Matrix exponential stochastic volatility with cross leverage,” Computational Statistics and Data Analysis, 100, 331-350. August 2016. DOI: 10.1016/j.csda.2014.10.012
Makoto Takahashi, Toshiaki Watanabe and Yasuhiro Omori (2016), “Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution,” International Journal of Forecasting, 32-2, 437-457. April 2016. DOI:10.1016/j.ijforecast.2015.07.005
Koji Miyawaki, Yasuhiro Omori and Akira Hibiki (2016), “Exact estimation of demand functions under block rate pricing,” Econometric Reviews, 35-3, 311-343. February 2016. DOI:10.1080/07474938.2013.806857
Yasuhiro Omori and Toshiaki Watanabe (2015), “Stochastic volatility and realized stochastic volatility Models,” Current Trends in Bayesian Methodology with Applications (eds S. K. Upadhyay, U. Singh, D. K. Dey and A. Loganathan), 435-456. Chapman & Hall/CRC Press. May 2015. ISBN 9781482235111
Shinichiro Shirota, Takayuki Hizu and Yasuhiro Omori (2014), “Realized stochastic volatility with leverage and long memory,” Computational Statistics and Data Analysis, 76, 618-641. August 2014. DOI: 10.1016/j.csda.2013.08.013
Makoto Takahashi, Yasuhiro Omori and Toshiaki Watanabe (2013), “News impact curve for stochastic volatility models,” Economics Letters, 120-1, 130-134. July 2013. DOI:10.1016/j.econlet.2013.03.001
Jouchi Nakajima, Tsuyoshi Kunihama, Yasuhiro Omori and Sylvia Frühwirth-Schnatter (2012), “Generalized extreme value distribution with time-dependence using the AR and MA models in state space form,” Computational Statistics and Data Analysis, 56-11, 3241-3259. November 2012. DOI:10.1016/j.csda.2011.04.017
Tsunehiro Ishihara and Yasuhiro Omori (2012), “Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors,” Computational Statistics and Data Analysis, 56-11, 3674-3689. November 2012. DOI: 10.1016/j.csda.2010.07.015
Jouchi Nakajima and Yasuhiro Omori (2012), “Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution,” Computational Statistics and Data Analysis, 56-11, 3690-3704. November 2012. DOI: 10.1016/j.csda.2010.07.012
Shinya Sugawara and Yasuhiro Omori (2012), “Duopoly in the Japanese airline market: Bayesian estimation for the entry game,” Japanese Economic Review, 63-3, 310-332. September 2012. DOI: 10.1111/j.1468-5876.2011.00545.x
Yuta Kurose and Yasuhiro Omori (2012), “Bayesian analysis of time-varying quantiles using a smoothing spline,” Journal of the Japan Statistical Society, 42-1, 23-46. June 2012. DOI: 10.14490/jjss.42.23
Yasuhiro Omori and Tsunehiro Ishihara (2012), “Multivariate Stochastic Volatility Model,” in Handbook of Volatility Models and Their Applications (eds L. Bauwens, C. Hafner and S. Laurent), Wiley, 175-195. May 2012.
Tsuyoshi Kunihama, Yasuhiro Omori and Zhengjun Zhang (2012), “Efficient estimation and particle filter for max-stable processes,” Journal of Time Series Analysis, 33-1, 61-80. January 2012. DOI: 10.1111/j.1467-9892.2011.00740.x
Koji Miyawaki, Yasuhiro Omori and Akira Hibiki (2011), “Panel data analysis of Japanese residential water demand using a discrete/continuous choice approach,” Japanese Economic Review, 62-3, 365-386. September 2011. DOI: 10.1111/j.1468-5876.2010.00532.x
Tsunehiro Ishihara and Yasuhiro Omori (2010), “Multivariate stochastic volatility model with cross leverage,” Proceedings in Computational Statistics 2010 (COMPSTAT’2010), 315-323. August 2010. DOI: 10.1007/978-3-7908-2604-3_29
Yasuhiro Omori and Koji Miyawaki (2010), “Tobit model with covariate dependent thresholds,” Computational Statistics and Data Analysis, 54-11, 2736-2752. November 2010. DOI:10.1016/j.csda.2009.02.005
Siddhartha Chib, Yasuhiro Omori and Manabu Asai (2009), “Multivariate Stochastic Volatility,” Handbook of Financial Time Series (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss and T. Mikosch), 365-400. Springer-Verlag: New York. April 2009.
Makoto Takahashi, Yasuhiro Omori and Toshiaki Watanabe (2009), “Estimating stochastic volatility models using daily returns and realized volatility simultaneously,” Computational Statistics and Data Analysis, 53-6, 2404-2426. April 2009. DOI:10.1016/j.csda.2008.07.039
Jouchi Nakajima and Yasuhiro Omori (2009), “Leverage, heavy-tails and correlated jumps in stochastic volatility models,” Computational Statistics and Data Analysis, 53-6, 2335-2353. April 2009. DOI: 10.1016/j.csda.2008.03.015
Yasuhiro Omori and Richard A. Johnson (2009), “Efficient semiparametric Bayesian estimation of multivariate discrete proportional hazards model with random effects,” Communications in Statistics-Theory and Methods, 38-1, 29-41. January 2009. DOI: 10.1080/03610920802155478
Yasuhiro Omori and Toshiaki Watanabe (2008), “Block sampler and posterior mode estimation for asymmetric stochastic volatility models,” Computational Statistics and Data Analysis, 52-6, 2892-2910. February 2008. DOI: 10.1016/j.csda.2007.09.001
Yasuhiro Omori, Siddhartha Chib, Neil Shephard and Jouchi Nakajima (2007), “Stochastic volatility model with leverage: fast and efficient likelihood inference,” Journal of Econometrics, 140-2, 425-449. October 2007.Ox program DOI:10.1016/j.jeconom.2006.07.008
Yasuhiro Omori (2007), “Efficient Gibbs sampler for Bayesian analysis of a sample selection model,” Statistics and Probability Letters, 77-12, 1300-1311. July 2007. DOI:10.1016/j.spl.2007.03.015
Yasuhiro Omori and Richard A. Johnson (2006), “The influences of random effects on univariate and bivariate discrete proportional hazards models,” Communications in Statistics-Theory and Methods, 35-9, 1757-1764. June 2006. DOI:10.1080/03610920600683762
Toshiaki Watanabe and Yasuhiro Omori (2004), “A multi-move sampler for estimating non-Gaussian times series models: Comments on Shephard and Pitt (1997),” Biometrika, 91-1, 246-248. March 2004. DOI: 10.1093/biomet/91.1.246
Yasuhiro Omori (2003), “Discrete duration model having autoregressive random effects with application to Japanese diffusion index,” Journal of the Japan Statistical Society, 33-1, 1-22. June 2003. DOI: 10.14490/jjss.33.1
Yasuhiro Omori (2003), “Estimation for unequally spaced time series of counts with serially correlated random effects,” Statistics and Probability Letters, 63-1, 1-12. May 2003. DOI:10.1016/S0167-7152(02)00343-7
Yasuhiro Omori (1999), “Measuring identification disclosure risk for categorical microdata by posterior population uniqueness,” in Statistical data protection - Proceedings of the conference, Lisbon, 25 to 27 March 1998 - 1999 edition, Office for Official Publications of the European Communities, Luxembourg, 59-76.
Yasuhiro Omori and Richard A. Johnson (1999), “Some consequences of random effects in multivariate survival models,” Multivariate Analysis, Design of Experiments and Survey Sampling, edited by S. Ghosh, New York: Marcel Dekker, 301-347. April 1999.
Richard A. Johnson and Yasuhiro Omori (1999), “The Influences of random effects on bivariate and trivariate survival models,” Journal of Nonparametric Statistics, 11-1, 137-159. January 1999. DOI: 10.1080/10485259908832778
Yasuhiro Omori, (1997), “Comparing two means in count models having random effects - A UMPU Test,” Statistics and Probability Letters, 34-3, 225-235. June 1997. DOI: 10.1016/S0167-7152(96)00185-X
Yasuhiro Omori and Richard A Johnson (1993), “The Influence of random effects on the unconditional hazard rate and survival functions,” Biometrika, 80-4, 910-914. December 1993. DOI:10.1093/biomet/80.4.910
Yasuhiro Omori (1993), “Asymptotic normality of estimators for multiple time series count data with an application to nonhomogeneous Poisson process,” Economics Journal of Chiba University. 8 (2-3), 101-134. December 1993.

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