5 papers · 1 filter
Bayesian Mixture Models for Histograms: with Applications to Large Datasets
Richard L. Warr, Fernando A. Quintana, Alessandra Guglielmi +1
In many real-world scenarios, especially those involving privacy constraints or data summarization, data are available only in aggregated forms, such as histograms or frequency tab…
Clustering Craters on the Moon with Dysfunctional Families
Nathan Weed, Emily Castleton, Dave Osthus +2
Summaries of craters on terrestrial bodies, such as the number and size distribution, are essential for understanding the history of the Solar System. Identifying craters, however,…
Bootstrapping Through Discrete Convolutional Methods
Jared M. Clark, Richard L. Warr
Bootstrapping was designed to randomly resample data from a fixed sample using Monte Carlo techniques. However, the original sample itself defines a discrete distribution. Convolut…
The Attraction Indian Buffet Distribution
Richard L. Warr, David B. Dahl, Jeremy M. Meyer +1
We propose the attraction Indian buffet distribution (AIBD), a distribution for binary feature matrices influenced by pairwise similarity information. Binary feature matrices are u…
Exact Confidence Intervals for Linear Combinations of Multinomial Probabilities
Katherine A. Batterton, Christine M. Schubert, Richard L. Warr
Linear combinations of multinomial probabilities, such as those resulting from contingency tables, are of use when evaluating classification system performance. While large sample…