activity
20182021
most citedParametric estimation for a parabolic linear SPDE model based on sampled data

7 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

math.ST2021

Estimation for change point of discretely observed ergodic diffusion processes

Yozo Tonaki, Yusuke Kaino, Masayuki Uchida

We treat the change point problem in ergodic diffusion processes from discrete observations. Tonaki et al. (2020) proposed adaptive tests for detecting changes in the diffusion and…

math.ST20201 cited

Adaptive estimator for a parabolic linear SPDE with a small noise

Yusuke Kaino, Masayuki Uchida

We deal with parametric estimation for a parabolic linear second order stochastic partial differential equation (SPDE) with a small dispersion parameter based on high frequency dat…

math.ST20202 cited

Adaptive tests for parameter changes in ergodic diffusion processes from discrete observations

Yozo Tonaki, Yusuke Kaino, Masayuki Uchida

We consider the adaptive test for the parameter change in discretely observed ergodic diffusion processes based on the cusum test. Using two test statistics based on the two quasi-…

math.ST20197 cited

Parametric estimation for a parabolic linear SPDE model based on sampled data

Yusuke Kaino, Masayuki Uchida

We consider parametric estimation for a parabolic linear second order stochastic partial differential equation (SPDE) from high frequency data which are observed in time and space.…

math.ST2018

Hybrid estimation for ergodic diffusion processes based on noisy discrete observations

Yusuke Kaino, Shogo H. Nakakita, Masayuki Uchida

We consider parametric estimation for ergodic diffusion processes with noisy sampled data based on the hybrid method, that is, the multi-step estimation with the initial Bayes type…