Three-mode Principal Component Analysis (3MPCA) and Item Response Theory


Jorge Tendeiro (University of Groningen)
  1. MMDSについて
  2. MMDSの教員・組織
  3. MMDSで学びたい方へ
  4. カリキュラム
  5. MMDSの活動

  6. 学内向け情報

大阪大学 数理・データ科学セミナー データ科学セミナーシリーズ 第25回(One-Day Seminar)
Three-mode Principal Component Analysis (3MPCA) and Item Response Theory

Jorge Tendeiro (University of Groningen)

My talk is divided in two parts. In the first part I will offer an overview over some of my findings in three-way component analysis, which is the topic that I focused on during my Ph.D. In particular, I will present some results revolving around the issues of simplicity and optimizing the search for global minima. The second part of my talk will focus on research within item response theory (IRT), which is the field where I have being working on in the last years. I will introduce the nuts and bolts of IRT, as well as some results based on person-fit analysis, which provides a means of detecting atypical response patterns of tests or questionnaires.

講 師:
Jorge Tendeiro (University of Groningen)
テーマ:
Three-mode Principal Component Analysis (3MPCA) and Item Response Theory
日 時:
2017年07月28日(金)16:10-17:10
場 所:
大阪大学(吹田キャンパス) 大学院人間科学研究科 東館1階 106講義室
参加費:
無料
アクセス:
会場までのアクセスは下記URLをご参照ください。
http://www.hus.osaka-u.ac.jp/ja/access.html
お問い合せ:
本ウェブサイトの「お問い合せ」のページをご参照ください。