Three-mode principal component analysis (3MPCA) and item response theory
28 Jul, 2017·
Jorge N. Tendeiro

Abstract
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.
Location
University of Osaka
Graduate School of Human Sciences

Authors
Jorge N. Tendeiro
(he/him)
Full Professor
Jorge N. Tendeiro is a professor at the Graduate School of Advanced Science
and Engineering, School of Informatics and Data Science, Hiroshima University,
Japan. His main research interest is in the Bayesian statistical framework.
He is also interested in item response theory in general and person fit
analysis in particular.