Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SeqROCTM: A Matlab toolbox for the analysis of Sequence of Random
  Objects driven by Context Tree Models   In several research problems we deal with probabilistic sequences of inputs
(e.g., sequence of stimuli) from which an agent generates a corresponding
sequence of responses and it is of interest to model the relation between them.
A new class of stochastic processes, namely \textit{sequences of random objects
driven by context tree models}, has been introduced to model such relation in
the context of auditory statistical learning. This paper introduces a freely
available Matlab toolbox (SeqROCTM) that implements this new class of
stochastic processes and three model selection procedures to make inference on
it. Besides, due to the close relation of the new mathematical framework with
context tree models, the toolbox also implements several existing model
selection algorithms for context tree models.

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The categories of this paper are: astro-ph
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
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The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
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The categories of this paper are: math
3
The categories of this paper are: physics
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: comp-gas
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-fin