46 citations · 107 across the 8 of their papers we have counts for
8 papers
Causal-driven attribution (CDA): Estimating channel influence without user-level data
Georgios Filippou, Boi Mai Quach, Diana Lenghel +2
Attribution modelling lies at the heart of marketing effectiveness, yet most existing approaches depend on user-level path data, which are increasingly inaccessible due to privacy…
Incorporating Expert Opinion on Observable Quantities into Statistical Models -- A General Framework
Philip Cooney, Arthur White
This article describes an approach to incorporate expert opinion on observable quantities through the use of a loss function which updates a prior belief as opposed to specifying p…
Change-point Detection for Piecewise Exponential Models
Philip Cooney, Arthur White
In decision modelling with time to event data, parametric models are often used to extrapolate the survivor function. One such model is the piecewise exponential model whereby the…
Utilizing Expert Opinion to inform Extrapolation of Survival Models
Philip Cooney, Arthur White
In decision modelling with time to event data, there are a variety of parametric models which could be used to extrapolate the survivor function. Each of these implies a different…
Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect
Alessio Benavoli, Jason Wyse, Arthur White
We present a two-stage Metropolis-Hastings algorithm for sampling probabilistic models, whose log-likelihood is computationally expensive to evaluate, by using a surrogate Gaussian…
Exponential Family Mixed Membership Models for Soft~Clustering of Multivariate Data
Arthur White, Thomas Brendan Murphy
For several years, model-based clustering methods have successfully tackled many of the challenges presented by data-analysts. However, as the scope of data analysis has evolved, s…
Mixed-Membership of Experts Stochastic Blockmodel
Arthur White, Thomas Brendan Murphy
Social network analysis is the study of how links between a set of actors are formed. Typically, it is believed that links are formed in a structured manner, which may be due to, f…
Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler
Arthur White, Jason Wyse, Thomas Brendan Murphy
Latent class analysis is used to perform model based clustering for multivariate categorical responses. Selection of the variables most relevant for clustering is an important task…