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Hiroki Masuda

22 papers hereh-index 201.3k citations65 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author6
  • middle author3
  • last author9

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • math.ST13
  • stat.ME5
  • math.PR2
  • cs.CV1
  • cs.DS1
same name
  • Hiroki Masuda — 5 papers, h 1
  • Hiroki Masuda — 4 papers, h 1
  • Hiroki Masuda — 2 papers, h 1
  • Hiroki Masuda — 1 paper, h 0
  • Hiroki Masuda — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132023
most citedConvergence of Gaussian quasi-likelihood random fields for ergodic Lévy driven SDE observed at high frequency

54 citations · 115 across the 22 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

stat.ME2018★ 12 cited

Robust relative error estimation

Kei Hirose, Hiroki Masuda

Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers…

math.ST2018★ 18 cited

Efficient estimation of stable Levy process with symmetric jumps

Alexandre Brouste, Hiroki Masuda

Efficient estimation of a non-Gaussian stable Levy process with drift and symmetric jumps observed at high frequency is considered. For this statistical experiment, the local asymp…

stat.ME2018

Estimating Diffusion With Compound Poisson Jumps Based On Self-normalized Residuals

Hiroki Masuda, Yuma Uehara

We consider parametric estimation of the continuous part of a class of ergodic diffusions with jumps based on high-frequency samples. Various papers previously proposed threshold b…

math.ST2018★ 1 cited

Data driven time scale in Gaussian quasi-likelihood inference

Shoichi Eguchi, Hiroki Masuda

We study parametric estimation of ergodic diffusions observed at high frequency. Different from the previous studies, we suppose that sampling stepsize is unknown, thereby making t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.