3 papers
stat.ME2021
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…
stat.ME2021
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…
stat.ME2021
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…