10 citations · 12 across the 11 of their papers we have counts for
12 papers
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,…
What Quality Engineers Need to Know about Degradation Models
Jared M. Clark, Jie Min, Mingyang Li +5
Degradation models play a critical role in quality engineering by enabling the assessment and prediction of system reliability based on data. The objective of this paper is to prov…
Dependent Random Partitions by Shrinking Toward an Anchor
David B. Dahl, Richard L. Warr, Thomas P. Jensen
Although exchangeable processes from Bayesian nonparametrics have been used as a generating mechanism for random partition models, we deviate from this paradigm to explicitly incor…
Teaching Bayes' Rule using Mosaic Plots
Edward D. White, Richard L. Warr
Students taking statistical courses orientated for business or economics often find the standard presentation of Bayes' Rule challenging. This key concept involves understanding mu…
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…
A Bayesian Nonparametric System Reliability Model which Integrates Multiple Sources of Lifetime Information
Richard L. Warr, Jeremy M. Meyer, Jackson T. Curtis
We present a Bayesian nonparametric system reliability model which scales well and provides a great deal of flexibility in modeling. The Bayesian approach naturally handles the dis…
First Passage Moments of Finite-State Semi-Markov Processes
Richard L. Warr, James D. Cordeiro
In this paper, we discuss the computation of first passage moments of a time-homogeneous semi-Markov process (SMP) with finite state space to certain of its states that possess the…
Numerical Approximation of Probability Mass Functions Via the Inverse Discrete Fourier Transform
Richard L. Warr
First passage distributions of semi-Markov processes are of interest in fields such as reliability, survival analysis, and many others. The problem of finding or computing first pa…
A Comprehensive Method for Solving Finite-State Semi-Markov Processes
Richard L. Warr, David H. Collins
Semi-Markov processes (SMPs) provide a rich framework for many real-world problems. However, due to difficulty implementing practical solutions they are rarely used with their full…