Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Bootstrap Method for Sinusoid Detection in Colored Noise and Uneven
  Sampling. Application to Exoplanet Detection   This study is motivated by the problem of evaluating reliable false alarm
(FA) rates for sinusoid detection tests applied to unevenly sampled time series
involving colored noise, when a (small) training data set of this noise is
available. While analytical expressions for the FA rate are out of reach in
this situation, we show that it is possible to combine specific periodogram
standardization and bootstrap techniques to consistently estimate the FA rate.
We also show that the procedure can be improved by using generalized
extremevalue distributions. The paper presents several numerical results
including a case study in exoplanet detection from radial velocity data.

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The categories of this paper are: hep-ph
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
1
The categories of this paper are: cs
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol