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T. Hirano

4 papers hereh-index 325 citations11 works total

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

author position
  • sole author3
  • first author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4
same name
  • T. Hirano — 101 papers, h 35
  • T. Hirano — 54 papers, h 13
  • T. Hirano — 24 papers, h 19
  • T. Hirano — 11 papers, h 7
  • T. Hirano — 9 papers, h 8
  • T. Hirano — 7 papers, h 9

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
20122024
most citedPseudo best estimator by a separable approximation of spatial covariance structures

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2024

Multi-resolution filters via linear projection for large spatio-temporal datasets

Toshihiro Hirano, Tsunehiro Ishihara

Advances in compact sensing devices mounted on satellites have facilitated the collection of large spatio-temporal datasets with coordinates. Since such datasets are often incomple…

stat.ME2020

A multi-resolution approximation via linear projection for large spatial datasets

Toshihiro Hirano

Recent technical advances in collecting spatial data have been increasing the demand for methods to analyze large spatial datasets. The statistical analysis for these types of data…

stat.ME2014

Modified Linear Projection for Large Spatial Data Sets

Toshihiro Hirano

Recent developments in engineering techniques for spatial data collection such as geographic information systems have resulted in an increasing need for methods to analyze large sp…

stat.ME2012★ 1 cited

Pseudo best estimator by a separable approximation of spatial covariance structures

Toshihiro Hirano

We consider a linear regression model with a spatially correlated error term on a lattice. When estimating coefficients in the linear regression model, the generalized least square…

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