Resampling-based multiple testing and its application to genome analysis

• Project/Area Number: 22700293
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Single-year Grants
• Research Field: Statistical science
• Research Institution: Chuo University
• Principal Investigator: SAKAORI Fumitake 中央大学, 理工学部, 准教授 (90386475)
• Project Period (FY): 2010 – 2011
• Project Status: Completed (Fiscal Year 2011)
• Budget Amount: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000); Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2010: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
• Keywords: 統計的推測 / 多重検定 / 並べ替え検定 / スパース推定 / ゲノム解析 / 多重検定法 / パーミュテーション法 / スパース推定法

Research Abstract

In this study, we investigated high-dimensional multiple testing problem and variable selection problem for application to the genome analysis. As a result, we have organized some theoretical problems of permutation-based method for the resampling-based multiple testing methods. Also we have developed some new variable selection methods using L1 penalized sparse estimation methods and their evaluation methods for various situations.

Research Products

• [Journal Article] Lag weighted lasso for time series model (2012)
  • Author(s): Park, H. and Sakaori, F.
  • Journal Title: Computational Statistics Volume: (掲載決定)
  • Peer Reviewed
• [Journal Article] Lag weighted lasso for time series model (2012)
  • Author(s): Park. H., Sakaori, F.
  • Journal Title: Computational Statistics Volume: (未定)(掲載決定)(印刷中) Issue: 2 Pages: 493-504
  • DOI: 10.1007/s00180-012-0313-5
  • Peer Reviewed
• [Presentation] Robust lasso-type estimation and efficient bootstrap information criteria in regression modeling (2011)
  • Author(s): Park, H. and Sakaori, F.
  • Organizer: Joint meeting of the 2011 Taipei international statistical symposium and 7^<th> conference of the asia regional section of the IASC
  • Place of Presentation: 台北(台湾)
  • Year and Date: 2011-12-18
• [Presentation] Robust lasso-type estimation and efficient bootstrap information criteria in regression modeling (2011)
  • Author(s): Park. H., Sakaori, F.
  • Organizer: Joint meeting of the 2011 Taipei International Statistical Symposium and 7th conference of the Asia regional section of the IASC
  • Place of Presentation: 台北(台湾)
  • Year and Date: 2011-12-18
• [Presentation] Lag weighted sparse regularization for multivariate time series (2011)
  • Author(s): Park, H. and Sakaori, F.
  • Organizer: The 58^<th> world statistics congress(ISI2011)
  • Place of Presentation: ダブリン(アイルランド)
  • Year and Date: 2011-08-23
• [Presentation] Lag Weighted Sparse Regularization for Multivariate Time Series (2011)
  • Author(s): Park. H., Sakaori, F.
  • Organizer: the 58th World Statistics Congress (ISI2011)
  • Place of Presentation: ダブリン(アイルランド)
  • Year and Date: 2011-08-23
• [Presentation] Lag weighted lasso (2011)
  • Author(s): Park, H. and Sakaori, F.
  • Organizer: 日本統計学会春季集会
  • Place of Presentation: 立教大学
  • Year and Date: 2011-03-06
• [Presentation] Lag weighted lasso (2011)
  • Author(s): Park H., Sakaori F.
  • Organizer: 日本統計学会春季大会
  • Place of Presentation: 立教大学
  • Year and Date: 2011-03-06