Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive confidence intervals for the tail coefficient in a wide second
  order class of Pareto models   We study the problem of constructing honest and adaptive confidence intervals
for the tail coefficient in the second order Pareto model, when the second
order coefficient is unknown. This problem is translated into a testing problem
on the second order parameter. By constructing an appropriate model and an
associated test statistic, we provide a uniform and adaptive confidence
interval for the first order parameter. We also provide an almost matching
lower bound, which proves that the result is minimax optimal up to a
logarithmic factor.

1
The categories of this paper are: cs
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th