Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Empirical Likelihood for Linear Structural Equation Models with
  Dependent Errors   We consider linear structural equation models that are associated with mixed
graphs. The structural equations in these models only involve observed
variables, but their idiosyncratic error terms are allowed to be correlated and
non-Gaussian. We propose empirical likelihood (EL) procedures for inference,
and suggest several modifications, including a profile likelihood, in order to
improve tractability and performance of the resulting methods. Through
simulations, we show that when the error distributions are non-Gaussian, the
use of EL and the proposed modifications may increase statistical efficiency
and improve assessment of significance.

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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
12
The categories of this paper are: nucl-th
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The categories of this paper are: eess
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ex
1
The categories of this paper are: cs
18
The categories of this paper are: econ