140 citations · 1.9k across the 86 of their papers we have counts for
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Burglary in London: Insights from Statistical Heterogeneous Spatial Point Processes
Jan Povala, Seppo Virtanen, Mark Girolami
To obtain operational insights regarding the crime of burglary in London we consider the estimation of effects of covariates on the intensity of spatial point patterns. By taking i…
Embedded Ridge Approximations
Chun Yui Wong, Pranay Seshadri, Geoffrey Parks +1
Many quantities of interest (qois) arising from differential-equation-centric models can be resolved into functions of scalar fields. Examples of such qois include the lift over an…
Statistical Inference for Generative Models with Maximum Mean Discrepancy
Francois-Xavier Briol, Alessandro Barp, Andrew B. Duncan +1
While likelihood-based inference and its variants provide a statistically efficient and widely applicable approach to parametric inference, their application to models involving in…
Multi-resolution Multi-task Gaussian Processes
Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang +1
We consider evidence integration from potentially dependent observation processes under varying spatio-temporal sampling resolutions and noise levels. We develop a multi-resolution…
Minimum Stein Discrepancy Estimators
Alessandro Barp, Francois-Xavier Briol, Andrew B. Duncan +2
When maximum likelihood estimation is infeasible, one often turns to score matching, contrastive divergence, or minimum probability flow to obtain tractable parameter estimates. We…
The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions
Mark Girolami, Eky Febrianto, Ge Yin +1
The increased availability of observation data from engineering systems in operation poses the question of how to incorporate this data into finite element models. To this end, we…