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26 papers · 1 filter
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…
Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter
Andrea Nóvoa, Alberto Racca, Luca Magri
Because of physical assumptions and numerical approximations, low-order models are affected by uncertainties in the state and parameters, and by model biases. Model biases, also kn…
Causal chain event graphs for remedial maintenance
Xuewen Yu, Jim Q. Smith
The analysis of system reliability has often benefited from graphical tools such as fault trees and Bayesian networks. In this article, instead of conventional graphical tools, we…
Bayesian Learning of Graph Substructures
Willem van den Boom, Maria De Iorio, Alexandros Beskos
Graphical models provide a powerful methodology for learning the conditional independence structure in multivariate data. Inference is often focused on estimating individual edges…
Combining chains of Bayesian models with Markov melding
Andrew A. Manderson, Robert J. B. Goudie
A challenge for practitioners of Bayesian inference is specifying a model that incorporates multiple relevant, heterogeneous data sets. It may be easier to instead specify distinct…
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…