Web: http://arxiv.org/abs/2205.14025

Sept. 21, 2022, 1:11 a.m. | Yuting Ng, Ali Hasan, Vahid Tarokh

stat.ML updates on arXiv.org arxiv.org

Understanding multivariate dependencies in both the bulk and the tails of a
distribution is an important problem for many applications, such as ensuring
algorithms are robust to observations that are infrequent but have devastating
effects. Archimax copulas are a family of distributions endowed with a precise
representation that allows simultaneous modeling of the bulk and the tails of a
distribution. Rather than separating the two as is typically done in practice,
incorporating additional information from the bulk may improve inference …

arxiv inference sampling

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