Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fat Tails Quantified and Resolved: A New Distribution to Reveal and
  Characterize the Risk and Opportunity Inherent in Leptokurtic Data   I report a new statistical distribution formulated to confront the infamous,
long-standing, computational/modeling challenge presented by highly skewed
and/or leptokurtic ("fat- or heavy-tailed") data. The distribution is
straightforward, flexible and effective. Even when working with far fewer data
points than are routinely required, it models non-Gaussian data samples, from
peak center through far tails, within the context of a single probability
density function (PDF) that is valid over an extremely broad range of
dispersions and probability densities. The distribution is a precision tool to
characterize the great risk and the great opportunity inherent in fat-tailed
data.

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The categories of this paper are: eess
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The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: q-alg
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: astro-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: ao-sci
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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-lat