Prof. Hiroki Masuda has won the 2014 Research Achievement Prize, Japan Statistical Society.

Prize-winning achievement:
Studies in statistical inference for stochastic processes with jumps

Some related articles:
[1] Masuda, H. (2010), Approximate self-weighted LAD estimation of discretely observed ergodic Ornstein-Uhlenbeck processes. Electronic Journal of Statistics 4, 525-565.
http://dx.doi.org/10.1214/10-EJS565
[2] Kawai, R. and Masuda, H. (2013), Local asymptotic normality for normal inverse Gaussian Lévy processes with high-frequency sampling. ESAIM: Probability and Statistics 17, 13-32.
http://dx.doi.org/10.1051/ps/2011101
[3] Masuda, H. (2013), Asymptotics for functionals of self-normalized residuals of discretely observed stochastic processes. Stochastic Processes and their Applications 123, 2752-2778.
http://dx.doi.org/10.1016/j.spa.2013.03.013
[4] Masuda, H. (2013), Convergence of Gaussian quasi-likelihood random fields for ergodic Lévy driven SDE observed at high frequency. Annals of Statistics 41, 1593-1641.
http://dx.doi.org/10.1214/13-AOS1121

 

Prize information (Japanese only):
http://www.jss.gr.jp/ja/society/prize_biog.html#7