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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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physics-based insights with data-driven methods—such as physics-informed neural networks, surrogate models and Bayesian optimisation—to explain formation behaviour, identify early indicators of cell
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national scale programmatic decisions and policy. Specific activities include: Operationalize, and where needed, improve Bayesian spatio-temporal feral swine abundance model allowing predictions to be
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 20 days ago
, which could include Bayesian methodologies and use of artificial intelligence to systematically integrate available information for evolving benefit-risk assessment. The goal is to tackle the major
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research objectives and proposals for own and/or collaborative research area. • Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international
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. Explore whether the real-world evidence (RWE) approaches as well as Bayesian borrowing can help address sample size and ethical concerns for rare diseases. Collaboration between the statistician at DB9 and
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, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation awareness and ecological interface design
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outputs in this area with increasing degrees of autonomy. The group at CIRA studies a variety of accreting compact objects, from X-ray binaries to tidal disruption events, seeking to understand how
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will apply predictive, Bayesian modelling for predicting performance of microbial consortia based on mass transfer, metabolic pathways and proteomic analysis. The work plan will also include developing