Search Results for author: Jacob Neumann

Found 2 papers, 1 papers with code

Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit

no code implementations • 29 Sep 2021 • Jacob Neumann, Yen Ting Lin, Abhishek Mallela, Ely F. Miller, Joshua Colvin, Abell T. Duprat1, Ye Chen, William S. Hlavacek, Richard G. Posner

Bayesian inference in biological modeling commonly relies on Markov chain Monte Carlo (MCMC) sampling of a multidimensional and non-Gaussian posterior distribution that is not analytically tractable.

Bayesian Inference Management +2

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Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification

1 code implementation • 20 Jul 2020 • Yen Ting Lin, Jacob Neumann, Ely Miller, Richard G. Posner, Abhishek Mallela, Cosmin Safta, Jaideep Ray, Gautam Thakur, Supriya Chinthavali, William S. Hlavacek

To increase situational awareness and support evidence-based policy-making, we formulated two types of mathematical models for COVID-19 transmission within a regional population.

Bayesian Inference Uncertainty Quantification

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