3 citations · 9 across the 7 of their papers we have counts for
9 papers
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
Adam J. Stone, Emmanuel Ogundimu, John Paul Gosling
The Additive Voronoi Tessellations (AddiVortes) model is a multivariate regression model that uses multiple Voronoi tessellations to partition the covariate space for an additive e…
H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations
Adam J. Stone, John Paul Gosling
This paper introduces the Heteroscedastic AddiVortes model, a Bayesian non-parametric regression framework that simultaneously models the conditional mean and variance of a respons…
Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study
Björn Holzhauer, Lisa V. Hampson, John Paul Gosling +8
Pharmaceutical companies regularly need to make decisions about drug development programs based on the limited knowledge from early stage clinical trials. In this situation, elicit…
A mathematical study of CD8+ T cell responses calibrated with human data
John Paul Gosling, Sheeja M. Krishnan, Grant Lythe +3
Complete understanding of the mechanisms regulating the proliferation and differentiation that takes place during human immune CD8+ T cell responses is still lacking. Human clinica…
Gaussian process modeling of heterogeneity and discontinuities using Voronoi tessellations
Christopher A. Pope, John Paul Gosling, Stuart Barber +4
Many methods for modelling spatial processes assume global smoothness properties; such assumptions are often violated in practice. We introduce a method for modelling spatial proce…
Rank Pruning for Dominance Queries in CP-Nets
Kathryn Laing, Peter Adam Thwaites, John Paul Gosling
Conditional preference networks (CP-nets) are a graphical representation of a person's (conditional) preferences over a set of discrete variables. In this paper, we introduce a nov…
A Bayesian computer model analysis of Robust Bayesian analyses
Ian Vernon, John Paul Gosling
We harness the power of Bayesian emulation techniques, designed to aid the analysis of complex computer models, to examine the structure of complex Bayesian analyses themselves. Th…
Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty
Matthias C. M. Troffaes, John Paul Gosling
When animals are transported and pass through customs, some of them may have dangerous infectious diseases. Typically, due to the cost of testing, not all animals are tested: a rea…
On the elicitation of continuous, symmetric, unimodal distributions
John Paul Gosling
In this brief note, we highlight some difficulties that can arise when fitting a continuous, symmetric, unimodal distribution to a set of expert's judgements. A simple analysis sho…