2 citations · 3 across the 7 of their papers we have counts for
7 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…