Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gaussian graphical modeling for spectrometric data analysis   Motivated by the analysis of spectrometric data, we introduce a Gaussian
graphical model for learning the dependence structure among frequency bands of
the infrared absorbance spectrum. The spectra are modeled as continuous
functional data through a B-spline basis expansion and a Gaussian graphical
model is assumed as a prior specification for the smoothing coefficients to
induce sparsity in their precision matrix. Bayesian inference is carried out to
simultaneously smooth the curves and to estimate the conditional independence
structure between portions of the functional domain. The proposed model is
applied to the analysis of infrared absorbance spectra of strawberry purees.

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The categories of this paper are: cond-mat
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The categories of this paper are: supr-con
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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
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
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The categories of this paper are: q-alg
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The categories of this paper are: nlin
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The categories of this paper are: q-fin
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The categories of this paper are: cs
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The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
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The categories of this paper are: atom-ph
19
The categories of this paper are: eess