15 citations · 25 across the 4 of their papers we have counts for
5 papers
Scalable Semi-Modular Inference with Variational Meta-Posteriors
Chris U. Carmona, Geoff K. Nicholls
The Cut posterior and related Semi-Modular Inference are Generalised Bayes methods for Modular Bayesian evidence combination. Analysis is broken up over modular sub-models of the j…
Valid belief updates for prequentially additive loss functions arising in Semi-Modular Inference
Geoff K. Nicholls, Jeong Eun Lee, Chieh-Hsi Wu +1
Model-based Bayesian evidence combination leads to models with multiple parameteric modules. In this setting the effects of model misspecification in one of the modules may in some…
Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert +1
We introduce Neural Contextual Anomaly Detection (NCAD), a framework for anomaly detection on time series that scales seamlessly from the unsupervised to supervised setting, and is…
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
Chris U. Carmona, Geoff K. Nicholls
Bayesian statistical inference loses predictive optimality when generative models are misspecified. Working within an existing coherent loss-based generalisation of Bayesian infere…
Model based approach for household clustering with mixed scale variables
Christian Carmona, Luis Nieto-Barajas, Antonio Canale
The Ministry of Social Development in Mexico is in charge of creating and assigning social programmes targeting specific needs in the population for the improvement of quality of l…