サンプル内外のどちらの予測にも対応した多変量回帰モデルにおける変数選択法の開発

• Project/Area Number: 25K17296
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 12040:Applied mathematics and statistics-related
• Research Institution: Hiroshima University
• Principal Investigator: 小田 凌也 広島大学, 先進理工系科学研究科(理), 助教 (10853682)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2027: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2026: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2025: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)