10 citations · 25 across the 14 of their papers we have counts for
14 papers
Measuring e-Commerce Metric Changes in Online Experiments
C. H. Bryan Liu, Emma J. McCoy
Digital technology organizations routinely use online experiments (e.g. A/B tests) to guide their product and business decisions. In e-commerce, we often measure changes to transac…
Can a latent Hawkes process be used for epidemiological modelling?
Stamatina Lamprinakou, Axel Gandy, Emma McCoy
Understanding the spread of COVID-19 has been the subject of numerous studies, highlighting the significance of reliable epidemic models. Here, we introduce a novel epidemic model…
Datasets for Online Controlled Experiments
C. H. Bryan Liu, Ângelo Cardoso, Paul Couturier +1
Online Controlled Experiments (OCE) are the gold standard to measure impact and guide decisions for digital products and services. Despite many methodological advances in this area…
Causal Analysis at Extreme Quantiles with Application to London Traffic Flow Data
Prajamitra Bhuyan, Kaushik Jana, Emma J. McCoy
Transport engineers employ various interventions to enhance traffic-network performance. Quantifying the impacts of Cycle Superhighways is complicated due to the non-random assignm…
Non-parametric Bayesian inference via loss functions under model misspecification
Yu Luo, David A. Stephens, Daniel J. Graham +1
In the usual Bayesian setting, a full probabilistic model is required to link the data and parameters, and the form of this model and the inference and prediction mechanisms are sp…
An Evaluation Framework for Personalization Strategy Experiment Designs
C. H. Bryan Liu, Emma J. McCoy
Online Controlled Experiments (OCEs) are the gold standard in evaluating the effectiveness of changes to websites. An important type of OCE evaluates different personalization stra…