• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

The R2D2 Shrinkage Prior for Grouped Sparse Linear Models

Research Project

Project/Area Number 24K22613
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 0107:Economics, business administration, and related fields
Research InstitutionAkita International University

Principal Investigator

Yanchenko Eric  国際教養大学, 国際教養学部, 助教 (61000146)

Project Period (FY) 2024-07-31 – 2026-03-31
Project Status Granted (Fiscal Year 2024)
Budget Amount *help
¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2025: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2024: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
KeywordsBayesian statistics / Shrinkage priors
Outline of Research at the Start

The goal of this project is to develop a novel shrinkage prior model for the sparse grouped regression setting by leveraging the R2D2 prior framework.

URL: 

Published: 2024-08-01   Modified: 2024-09-13  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi