Performance improvements of algebraic statistical methods

• Project/Area Number: 18H04092
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Medium-sized Section 60:Information science, computer engineering, and related fields
• Research Institution: Shiga University
• Principal Investigator: 竹村 彰通 滋賀大学, データサイエンス学部, 教授 (10171670)
• Project Period (FY): 2018-04-01 – 2023-03-31
• Project Status: Granted (Fiscal Year 2020)
• Budget Amount: ¥43,810,000 (Direct Cost: ¥33,700,000、Indirect Cost: ¥10,110,000); Fiscal Year 2020: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000); Fiscal Year 2019: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000); Fiscal Year 2018: ¥9,490,000 (Direct Cost: ¥7,300,000、Indirect Cost: ¥2,190,000)
• Keywords: 計算代数統計 / 統計モデル / ホロノミック勾配法 / グレブナー基底 / 多変量解析