Research Interests 【 display / non-display 】

Research Interests 【 display / non-display 】

Research Areas 【 display / non-display 】

Research Areas 【 display / non-display 】

Papers 【 display / non-display 】

Papers 【 display / non-display 】

• Statistical Surveillance in Public Health

  Yoneoka Daisuke, Kawashima Takayuki, Tanoue Yuta , 2025.09

  Journal of the Japan Statistical Society, Japanese Issue

  DOI

• Heterogeneity in willingness to share personal health information: a nationwide cluster analysis of 20,000 adults in Japan

  Miho Sassa, Akifumi Eguchi, Keiko Maruyama-Sakurai, Takanori Fujita, Yumi Kawamura, Takayuki Kawashima, Yuta Tanoue, Daisuke Yoneoka, Hiroaki Miyata, Takanori Yamashita, Naoki Nakashima, Shuhei Nomura , 2025.04

  Archives of Public Health

  DOI

• Weibull-Type Incubation Period and Time of Exposure Using γ-Divergence

  Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi , 2025.03

  Entropy

  DOI

• Changes in Healthcare Utilization in Japan in the Aftermath of the COVID-19 Pandemic: A Time Series Analysis of Japanese National Data Through November 2023

  Yuta Tanoue, Alton Cao, Masahide Koda, Nahoko Harada, Cyrus Ghaznavi, Shuhei Nomura , 2024.11

  Healthcare

  DOI

• Indirect and direct effects of nighttime light on COVID-19 mortality using satellite image mapping approach.

  Daisuke Yoneoka, Akifumi Eguchi, Shuhei Nomura, Takayuki Kawashima, Yuta Tanoue, Masahiro Hashizume, Motoi Suzuki , 2024.10

  Scientific reports

  DOI

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Grant-in-Aid for Scientific Research 【 display / non-display 】

Grant-in-Aid for Scientific Research 【 display / non-display 】

• Estimating the repayment capacity of the default company based on the credit information of multiple banks and developing its machine learning method

  Project Period (FY)： 2022/04  -  2026/03  Investigator(s): 山下 智志

  Grant-in-Aid for Scientific Research(B)  Co-Investigator  23K22160 

• 重い裾を考慮した金融リスク統合のための研究

  Project Period (FY)： 2021/04  -  2025/03  Investigator(s): 田上 悠太

  Grant-in-Aid for Young Scientists  Principal Investigator  21K13328 

• Development of a Practically Usable Highly Accurate LGD Estimation Model Using the Integrated Database of Regional Banks

  Project Period (FY)： 2018/04  -  2022/03  Investigator(s): Tanoue Yuta

  Grant-in-Aid for Young Scientists  Principal Investigator  18K12873 

  The Basel accords, which aim to strengthen the soundness of the international financial system, require banks to estimate various risks and accumulate capital to cover them. This study was conducted to improve the estimation accuracy of credit risk of bank claims, especially LGD estimation. The results of this study confirm the usefulness of nonlinear models in LGD estimation. We also tested the effectiveness of transfer learning, macroeconomic variables, and business history. We also conducted research on variable selection methods in LGD estimation, which involves a large number of explanatory variables.

• 地銀統合データベースを用いた高精度LGD推定モデルとシステム実装

  Project Period (FY)： 2017/08  -  2019/03  Investigator(s): 田上 悠太

  Grant-in-Aid for Research Activity start-up  Principal Investigator  17H07322 

Lesson Subject 【 display / non-display 】

Lesson Subject 【 display / non-display 】