Research Seminar
Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemesTom WilderjansKU Leuven | |
| Abstract: | Research questions often imply the simultaneous analysis of different blocks of information that pertain to the same research objects, with the different blocks possibly being of a different nature and emanating from different sources. When dealing with such coupled data blocks it regularly happens that one data block is much larger in size than the other(s). In the analysis one can account for this difference in size by applying weights to the different data blocks, with each weight indicating the extent to which the corresponding data block influences the integrated analysis. The question then arising is which weighting scheme is optimal with respect to the disclosure of the structure underlying the common mode(s) of the coupled data. To tackle this question, two weighting approaches are compared, by means of extensive simulation studies, within the context of two models for coupled data consisting of a three-way three-mode data block and a two-way two-mode data block that have one mode in common: (1) a multiway covariates regression model for coupled real-valued data, and (2) a simultaneous clustering model for coupled binary data. |
| Date: | Tue May 8, 12:15 pm - 1:15 pm |
| Place: | room 00.60 (Department of Psychology, Tiensestraat 102, 3000 Leuven) |