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Thea Sukianto

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Preprint Oct 2026

Tree statistics improve neural simulation-based inference of epidemiological parameters over case counts alone

During an infectious disease outbreak, accurate estimates of epidemiological parameters such as the reproduction number and infection duration can inform the public health response. Recently, neural simulation-based inference (NSBI) methods have become popular for estimating these parameters due to lower computational...

Z. Lapp, E. Goldberg, John R. Tipton et al. · 0 citations
Preprint Jul 2026

Improved Global Ocean Heat Content Estimation by Modeling Vertical Spatio-Temporal Dependence

Estimating ocean heat content (OHC) with reliable uncertainties is critical for understanding and monitoring the evolution of Earth's climate, as the ocean has stored most of the energy accumulated in the climate system due to Earth Energy Imbalance. Here, we use Argo profiling float data from 2004-2022 to map OHC. As...

Thea Sukianto, D. Giglio, M. Kuusela · 0 citations

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