Bayesian modeling

Inferring the spread of COVID-19: the role of time-varying reporting rate in epidemiological modelling
The role of epidemiological models is crucial for informing public health officials during a public health emergency, such as the …
Adam Spannaus, Theodore Papamarkou, Samantha Erwin, J. Blair Christian
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The controlled thermodynamic integral for Bayesian model evidence evaluation
Approximation of the model evidence is well known to be challenging. One promising approach is based on thermodynamic integration, but …
Chris J. Oates, Theodore Papamarkou, Mark Girolami
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RNA editing generates cellular subsets with diverse sequence within populations
RNA editing is a mutational mechanism that specifically alters the nucleotide content in transcribed RNA. However, editing rates vary …
Dewi Harjanto, Theodore Papamarkou, Chris J. Oates, Violeta Rayon-Estrada, F. Nina Papavasiliou, Anastasia Papavasiliou
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Monte Carlo methods and zero variance principle
The principle dates back to 1999, when it was introduced in the physics literature by [3]. The physical nomenclature would broadly …
Theodore Papamarkou, Antonietta Mira, Mark Girolami
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