140 citations · 1.9k across the 86 of their papers we have counts for
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Beyond Laplace: Closed-form wrapped Gaussian posterior approximations on statistical manifolds
Marcelo Hartmann, Luu Hoang Phuc Hau, Anton Mallasto +5
In Bayesian statistics, the Laplace approximation provides a computationally efficient approximation to posterior distributions. However, its Gaussian form restricts it to elliptic…
Table inference for combinatorial origin-destination choices in agent-based population synthesis
Ioannis Zachos, Theodoros Damoulas, Mark Girolami
A key challenge in agent-based mobility simulations is the synthesis of individual agent socioeconomic profiles. Such profiles include locations of agent activities, which dictate…
Lagrangian Manifold Monte Carlo on Monge Patches
Marcelo Hartmann, Mark Girolami, Arto Klami
The efficiency of Markov Chain Monte Carlo (MCMC) depends on how the underlying geometry of the problem is taken into account. For distributions with strongly varying curvature, Ri…
Low-rank statistical finite elements for scalable model-data synthesis
Connor Duffin, Edward Cripps, Thomas Stemler +1
Statistical learning additions to physically derived mathematical models are gaining traction in the literature. A recent approach has been to augment the underlying physics of the…
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…
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…