1.8k citations · 2k across the 5 of their papers we have counts for
5 papers
Applying Discrete PCA in Data Analysis
Wray L. Buntine, Aleks Jakulin
Methods for analysis of principal components in discrete data have existed for some time under various names such as grade of membership modelling, probabilistic latent semantic an…
A weakly informative default prior distribution for logistic and other regression models
Andrew Gelman, Aleks Jakulin, Maria Grazia Pittau +1
We propose a new prior distribution for classical (nonhierarchical) logistic regression models, constructed by first scaling all nonbinary variables to have mean 0 and standard dev…
Predicting Regional Classification of Levantine Ivory Sculptures: A Machine Learning Approach
Amy Rebecca Gansell, Irene K. Tamaru, Aleks Jakulin +1
Art historians and archaeologists have long grappled with the regional classification of ancient Near Eastern ivory carvings. Based on the visual similarity of sculptures, individu…
Discrete Component Analysis
Wray Buntine, Aleks Jakulin
This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-negative ma…
Quantifying and Visualizing Attribute Interactions
Aleks Jakulin, Ivan Bratko
Interactions are patterns between several attributes in data that cannot be inferred from any subset of these attributes. While mutual information is a well-established approach to…