Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling Interval Trendlines: Symbolic Singular Spectrum Analysis for
  Interval Time Series   In this article we propose an extension of singular spectrum analysis for
interval-valued time series. The proposed methods can be used to decompose and
forecast the dynamics governing a set-valued stochastic process. The resulting
components on which the interval time series is decomposed can be understood as
interval trendlines, cycles, or noise. Forecasting can be conducted through a
linear recurrent method, and we devised generalizations of the decomposition
method for the multivariate setting. The performance of the proposed methods is
showcased in a simulation study. We apply the proposed methods so to track the
dynamics governing the Argentina Stock Market (MERVAL) in real time, in a case
study that covers the most recent period of turbulence that led to discussions
of the government of Argentina with the International Monetary Fund.

13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
1
The categories of this paper are: cs
25
The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
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The categories of this paper are: comp-gas
3
The categories of this paper are: physics
19
The categories of this paper are: eess
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: math-ph