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Yoichi Nishiyama WASEDA GLOBAL FORUM 19 159 - 180 2022.12 [Refereed] Weak convergence of marked empirical processes in a Hilbert space and its applications
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Yoichi NISHIYAMA, Professor | Cited by 314 | of Waseda University, Tokyo (Sōdai) | Read 53 publications | Contact Yoichi NISHIYAMA
Yoichi Nishiyama WASEDA GLOBAL FORUM 19 159 - 180 2022年12月 [査読有り] Weak convergence of marked empirical processes in a Hilbert space and its applications
Asymptotically distribution free test for parameter change in a diffusion process model. Ilia Negri, Yoichi Nishiyama. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 64 (5) 911-918 2012年10月 査読有り. Some problems in nonparametric inference for the stress release process related to the local time.
Nov 24, 2021 · Martingale Methods in Statistics provides a unique introduction to statistics of stochastic processes written with the author’s strong desire to present what is not available in other textbooks.
Jul 22, 2010 · This study extends the rate of convergence theorem of M -estimators presented by van der V aart and W ellner (weak convergence and empirical processes: with applications to statistics, Springer-Verlag, Newyork, 1996) who gave a result of the form r to a result of the form sup nE | r , for any p ≥1.
