Ryo Kato

Ryo Kato

Kobe University

H-index: 4

Asia-Japan

About Ryo Kato

Ryo Kato, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Kobe University, specializes in the field of ベイズ統計学、マーケティング、実証会計学.

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

Mobile Targeting: Exploring the Role of Area Familiarity, Store Knowledge, and Promotional Incentives

Semiparametric Bayes instrumental variable estimation with many weak instruments

Unplanned purchase of new products

Efficiency and resistance to extinction of lottery-based incentives in human: Survey response behavior in 12-week real-world field experiment

Semiparametric Bayesian multiple imputation for regression models with missing mixed continuous–discrete covariates

Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments

Institute for Economic Studies, Keio University

Ryo Kato Information

University

Position

___

Citations(all)

53

Citations(since 2020)

50

Cited By

19

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Kobe University

Google Scholar

View Google Scholar Profile

Ryo Kato Skills & Research Interests

ベイズ統計学、マーケティング、実証会計学

Top articles of Ryo Kato

Title

Journal

Author(s)

Publication Date

Mobile Targeting: Exploring the Role of Area Familiarity, Store Knowledge, and Promotional Incentives

Ryo Kato

Takahiro Hoshino

Daisuke Moriwaki

Shintaro Okazaki

2022/3/25

Semiparametric Bayes instrumental variable estimation with many weak instruments

Stat

Ryo Kato

Takahiro Hoshino

2021/12

Unplanned purchase of new products

Journal of Retailing and Consumer Services

Ryo Kato

Takahiro Hoshino

2021/3/1

Efficiency and resistance to extinction of lottery-based incentives in human: Survey response behavior in 12-week real-world field experiment

Satoshi Nakano

Ryo Kato

Makito Takeuchi

Takahiro Hoshino

2020/11/1

Semiparametric Bayesian multiple imputation for regression models with missing mixed continuous–discrete covariates

Annals of the Institute of Statistical Mathematics

Ryo Kato

Takahiro Hoshino

2020/6

Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments

Ryo Kato

Takahiro Hoshino

2020/2/5

Institute for Economic Studies, Keio University

Masaki Takahashi

Reo Takaku

Toyo Ashida

Yoko Ibuka

2022/2/15

See List of Professors in Ryo Kato University(Kobe University)