Work

CityCOVID Calibration - Stein VI release

Year: 2026

Type: software

Abstract: This package contains code and data from our GitHub repository (https://github.com/sandialabs/citycovid_calibration) and is being released to support our paper "Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates" by Connor Robertson, Cosmin Safta, Jaideep Ray, Nicholson Collier, and Jonathan Ozik. The arXiv preprint is here: https://arxiv.org/abs/2502.19550

Source: Figshare

DOI: 10.6084/m9.figshare.31373953

Authors: Robertson, Connor, Safta, Cosmin, Ray, Jaideep, Collier, Nicholson T., Ozik, Jonathan

Topic: Gaussian Processes and Bayesian Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7130536585

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