16 citations · 38 across the 11 of their papers we have counts for
4 papers · 1 filter
Reduced Rank Regression for Mixed Predictor and Response Variables
Mark de Rooij, Lorenza Cotugno, Roberta Siciliano
In this paper, we propose the generalized mixed reduced rank regression method, GMR for short. GMR is a regression method for a mix of numeric, binary, and ordinal response…
A Multinomial Canonical Decomposition Model, with emphasis on the analysis of Multivariate Binary data
Mark de Rooij
In this paper, we propose to decompose the canonical parameter of a multinomial model into a set of participant scores and category scores. External information about the participa…
Logistic Multidimensional Data Analysis for Ordinal Response Variables using a Cumulative Link function
Mark de Rooij, Ligaya Breemer, Dion Woestenburg +1
We present a multidimensional data analysis framework for the analysis of ordinal response variables. Underlying the ordinal variables, we assume a continuous latent variable, lead…
Supervised and Unsupervised Mapping of Binary Variables: A proximity perspective
Mark de Rooij, Dion Woestenburg, Frank Busing
We propose a new mapping tool for supervised and unsupervised analysis of multivariate binary data with multiple items, questions, or response variables. The mapping assumes an und…