4.8k citations · 4.9k across the 16 of their papers we have counts for
16 papers
Adaptively Weighted Audits of Instant-Runoff Voting Elections: AWAIRE
Alexander Ek, Philip B. Stark, Peter J. Stuckey +1
An election audit is risk-limiting if the audit limits (to a pre-specified threshold) the chance that an erroneous electoral outcome will be certified. Extant methods for auditing…
Risk-Limiting Audits for Condorcet Elections
Michelle Blom, Peter J. Stuckey, Vanessa Teague +1
Elections where electors rank the candidates (or a subset of the candidates) in order of preference allow the collection of more information about the electors' intent. The most wi…
Ballot-Polling Audits of Instant-Runoff Voting Elections with a Dirichlet-Tree Model
Floyd Everest, Michelle Blom, Philip B. Stark +3
Instant-runoff voting (IRV) is used in several countries around the world. It requires voters to rank candidates in order of preference, and uses a counting algorithm that is more…
Assessing the accuracy of the Australian Senate count: Key steps for a rigorous and transparent audit
Michelle Blom, Philip B. Stark, Peter J. Stuckey +2
This paper explains the main principles and some of the technical details for auditing the scanning and digitisation of the Australian Senate ballot papers. We give a short summary…
Scaling multi-species occupancy models to large citizen science datasets
Martin Ingram, Damjan Vukcevic, Nick Golding
Citizen science datasets can be very large and promise to improve species distribution modelling, but detection is imperfect, risking bias when fitting models. In particular, obser…
Auditing Ranked Voting Elections with Dirichlet-Tree Models: First Steps
Floyd Everest, Michelle Blom, Philip B. Stark +3
Ranked voting systems, such as instant-runoff voting (IRV) and single transferable vote (STV), are used in many places around the world. They are more complex than plurality and sc…
Investigating the efficiency of marginalising over discrete parameters in Bayesian computations
Wen Zhang, Jeffrey Pullin, Lyle Gurrin +1
Bayesian analysis methods often use some form of iterative simulation such as Monte Carlo computation. Models that involve discrete variables can sometime pose a challenge, either…
A First Approach to Risk-Limiting Audits for Single Transferable Vote Elections
Michelle Blom, Peter J. Stuckey, Vanessa Teague +1
Risk-limiting audits (RLAs) are an increasingly important method for checking that the reported outcome of an election is, in fact, correct. Indeed, their use is increasingly being…
Assertion-Based Approaches to Auditing Complex Elections, with Application to Party-List Proportional Elections
Michelle Blom, Jurlind Budurushi, Ronald L. Rivest +4
Risk-limiting audits (RLAs), an ingredient in evidence-based elections, are increasingly common. They are a rigorous statistical means of ensuring that electoral results are correc…
Auditing Hamiltonian Elections
Michelle Blom, Philip B. Stark, Peter J. Stuckey +2
Presidential primaries are a critical part of the United States Presidential electoral process, since they are used to select the candidates in the Presidential election. While met…
Statistical Models for Repeated Categorical Ratings: The R Package rater
Jeffrey M. Pullin, Lyle C. Gurrin, Damjan Vukcevic
A common problem in many disciplines is the need to assign a set of items into categories or classes with known labels. This is often done by one or more expert raters, or sometime…
A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods
Zhuoqun Huang, Ronald L. Rivest, Philip B. Stark +2
Counting votes is complex and error-prone. Several statistical methods have been developed to assess election accuracy by manually inspecting randomly selected physical ballots. Tw…
Random errors are not necessarily politically neutral
Michelle Blom, Andrew Conway, Peter J. Stuckey +2
Errors are inevitable in the implementation of any complex process. Here we examine the effect of random errors on Single Transferable Vote (STV) elections, a common approach to de…
Temporal clustering of rotational glitches in the Crab pulsar
Julian Brian Carlin, Andrew Melatos, Damjan Vukcevic
It is an open question whether glitch activity in individual pulsars varies on decadal time-scales. The Crab pulsar has experienced 23 spin-up glitches in the last 36 years, interr…
Bayesian modelling of lung function data from multiple-breath washout tests
Robert K. Mahar, John B. Carlin, Sarath Ranganathan +3
Paediatric respiratory researchers have widely adopted the multiple-breath washout (MBW) test because it allows assessment of lung function in unsedated infants and is well suited…
Bayesian Test for Colocalisation Between Pairs of Genetic Association Studies Using Summary Statistics
Claudia Giambartolomei, Damjan Vukcevic, Eric E. Schadt +4
Genetic association studies, in particular the genome-wide association study design, have provided a wealth of novel insights into the aetiology of a wide range of human diseases a…