Hiroshi Yamada

Hiroshi Yamada

Hiroshima University

H-index: 14

Asia-Japan

About Hiroshi Yamada

Hiroshi Yamada, With an exceptional h-index of 14 and a recent h-index of 9 (since 2020), a distinguished researcher at Hiroshima University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Spatial Smoothing Using Graph Laplacian Penalized Filter

A New Perspective on Moran’s Coefficient: Revisited

HPX filter: a hybrid of Hodrick–Prescott filter and multiple regression

Geary’s c and Spectral Graph Theory: A Complement

A unified perspective on some autocorrelation measures in different fields: A note

Quantile regression version of Hodrick–Prescott filter

Common Trend Filtering

Geary’s c and Spectral Graph Theory

Hiroshi Yamada Information

University

Position

___

Citations(all)

790

Citations(since 2020)

284

Cited By

620

hIndex(all)

14

hIndex(since 2020)

9

i10Index(all)

17

i10Index(since 2020)

8

Email

University Profile Page

Hiroshima University

Google Scholar

View Google Scholar Profile

Top articles of Hiroshi Yamada

Title

Journal

Author(s)

Publication Date

Spatial Smoothing Using Graph Laplacian Penalized Filter

Spatial Statistics

Hiroshi Yamada

2024/1/17

A New Perspective on Moran’s Coefficient: Revisited

Mathematics

Hiroshi Yamada

2024/1/12

HPX filter: a hybrid of Hodrick–Prescott filter and multiple regression

Studies in Nonlinear Dynamics and Econometrics

Hiroshi Yamada

2023

Geary’s c and Spectral Graph Theory: A Complement

Mathematics

Hiroshi Yamada

2023/10/10

A unified perspective on some autocorrelation measures in different fields: A note

Open Mathematics

Hiroshi Yamada

2023/4/1

Quantile regression version of Hodrick–Prescott filter

Empirical Economics

Hiroshi Yamada

2022/8/22

Common Trend Filtering

Computational Economics

Hiroshi Yamada

Ruoyi Bao

2022/3

Geary’s c and Spectral Graph Theory

Mathematics

Hiroshi Yamada

2021/10/3

TREND EXTRACTION FROM ECONOMIC TIME SERIES WITH MISSING OBSERVATIONS BY GENERALIZED HODRICK–PRESCOTT FILTERS

Econometric Theory

Hiroshi Yamada

2021/6/11

Principle of Duality in Cubic Smoothing Spline

Mathematics

Ruixue Du

Hiroshi Yamada

2020

A Pioneering Study on Discrete Cosine Transform

Communications in Statistics – Theory and Methods

Hiroshi Yamada

2020

A Smoothing Method That Looks Like the Hodrick-Prescott Filter

Econometric Theory

Hiroshi Yamada

2020

See List of Professors in Hiroshi Yamada University(Hiroshima University)