Research Seminar
Simultaneous analysis of coupled data blocks that are subject to different amounts of noiseTom WilderjansKU Leuven | |
| Abstract: | In psychology, research questions often imply that different blocks of information pertaining to the same objects are to be analyzed simultaneously. As these blocks may emanate from different sources, often they may be subject to different amounts of measurement error or noise. To account for these differences in noise, different loss functions could be used in the data analysis. A challenging question then reads which loss function performs best with respect to the disclosure of the structure underlying the coupled data. To tackle this question, an extensive simulation study is carried out in which two types of loss functions are compared within the context of two models for coupled data that consist of two two-way two-mode data blocks with one mode in common: (1) a multiway multiblock components model for coupled real-valued data, and (2) a simultaneous clustering model for coupled binary data. Authors: Tom Wilderjans, Iven Van Mechelen, and Eva Ceulemans (K.U.Leuven) |
| Date: | Tue Apr 29, 12:15 pm - 1:15 pm |
| Place: | room 00.60 (Department of Psychology, Tiensestraat 102, 3000 Leuven) |