CAREER: Heavy-Tailed Priors for Robust Bayesian Inference in Ecology, Machine Learning, and Astronomy
Description preview
Heavy-tailed probability distributions are routine across many scientific disciplines, from astronomy to ecology and finance and network modeling. Such distributions are often utilized in statistical modeling to incorporate non-linearity, robustness to large observations, and sparsity in high-dimensional data. The overarching goal of this project…
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