Dr Samuel Stockman
Expertise
My research focuses on the application of statistical machine learning approaches to address real-world problems. Currently, I'm developing and evaluating Neural Point Process models to enhance operational earthquake forecasting.
Current positions
Honorary Senior Research Associate
School of Earth Sciences
Contact
Press and media
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Publications
Recent publications
27/08/2025A benchmark database of ten years of prospective next-day earthquake forecasts in California from the Collaboratory for the Study of Earthquake Predictability
Scientific Data
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
BMC Medical Informatics and Decision Making
SB-ETAS
Statistics and Computing
Forecasting the 2016–2017 Central Apennines Earthquake Sequence With a Neural Point Process
Earth's Future
Thesis
Enhancing Earthquake Forecasting
Supervisors
Award date
04/02/2025
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Mr Jose Bayona
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