6 citations · 15 across the 10 of their papers we have counts for
10 papers
A Neural Estimation Framework for Aggregated Relational Data under Intractable Likelihoods
Rowland G Seymour, Joseph Marsh
Aggregated relational data (ARD) consists of survey responses to questions of the form ``how many people do you know who~?'' and is widely used in survey statistics for indirect…
Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
Joseph Marsh, Theodore Kypraios, Rowland G. Seymour
The distance dependent Chinese Restaurant Process (ddCRP) provides a flexible prior distribution for clustering observations, incorporating covariate information through pairwise d…
Neural Methods for Multiple Systems Estimation Models
Joseph Marsh, Nathan A. Judd, Lax Chan +1
Estimating the size of hidden populations using Multiple Systems Estimation (MSE) is a critical task in quantitative sociology; however, practical application is often hindered by…
A Reduced Basis Decomposition Approach to Efficient Data Collection in Pairwise Comparison Studies
Jiahua Jiang, Joseph Marsh, Rowland G Seymour
Comparative judgement studies elicit quality assessments through pairwise comparisons, typically analysed using the Bradley-Terry model. A challenge in these studies is experimenta…
Statistical Crime Linkage: Evaluating approaches within the Covenant for Using AI in Policing
Nathan A. Judd, Amy V. Tansell, Benjamin Costello +3
Linking crimes by modus operandi has long been employed as an effective tool for crime investigation. The standard statistical method that underpins statistical crime linkage has b…
A Partially Pooled NSUM Model: Detailed estimation of CSEM trafficking prevalence in Philippine municipalities
Albert Nyarko-Agyei, Scott Moser, Rowland G Seymour +8
Effective policy and intervention strategies to combat human trafficking for child sexual exploitation material (CSEM) production require accurate prevalence estimates. Traditional…
Scalable Bayesian Inference for Bradley--Terry Models with Ties: An Application to Honour Based Abuse
Rowland G Seymour, Fabian Hernandez
Honour based abuse covers a wide range of family abuse including female genital mutilation and forced marriage. Safeguarding professionals need to identify where abuses are happeni…
Comparative Judgement Modeling to Map Forced Marriage at Local Levels
R. G. Seymour, A. Nyarko-Agyei, H. R. McCabe +4
Forcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, UK, launched a strategy to tackle forced marriage and…
The Bayesian Spatial Bradley--Terry Model: Urban Deprivation Modeling in Tanzania
R. G. Seymour, D. Sirl, S. Preston +4
Identifying the most deprived regions of any country or city is key if policy makers are to design successful interventions. However, locating areas with the greatest need is often…
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands
R. G. Seymour, T. Kypraios, P. D. O'Neill +1
Infectious diseases on farms pose both public and animal health risks, so understanding how they spread between farms is crucial for developing disease control strategies to preven…