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20062024
most citedBAT - The Bayesian Analysis Toolkit

277 citations · 444 across the 15 of their papers we have counts for

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7 papers · 1 filter

physics.data-an2023

Limit setting using spacings in the presence of unknown backgrounds

Lolian Shtembari, Allen Caldwell

Finding upper limits on the rate of events from a proposed process in the presence of unknown backgrounds is an often encountered problem in the search for rare processes. Methods…

physics.data-an2018

Integration with an Adaptive Harmonic Mean Algorithm

Allen Caldwell, Philipp Eller, Vasyl Hafych +3

Numerically estimating the integral of functions in high dimensional spaces is a non-trivial task. A oft-encountered example is the calculation of the marginal likelihood in Bayesi…

physics.data-an2014★ 5 cited

Target Density Normalization for Markov Chain Monte Carlo Algorithms

Allen Caldwell, Chang Liu

Techniques for evaluating the normalization integral of the target density for Markov Chain Monte Carlo algorithms are described and tested numerically. It is assumed that the Mark…

physics.data-an2012★ 1 cited

Error Bars for Distributions of Numbers of Events

Ritu Aggarwal, Allen Caldwell

The common practice for displaying error bars on distributions of numbers of events is confusing and can lead to incorrect conclusions. A proposal is made for a different style of…

physics.data-an2010★ 29 cited

p-Values for Model Evaluation

Frederik Beaujean, Allen Caldwell, Daniel Kollar +1

Deciding whether a model provides a good description of data is often based on a goodness-of-fit criterion summarized by a p-value. Although there is considerable confusion concern…

physics.data-an2008★ 277 cited

BAT - The Bayesian Analysis Toolkit

Allen Caldwell, Daniel Kollar, Kevin Kroeninger

We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This give…