Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dimension reduction in spatial regression with kernel SAVE method   We consider the smoothed version of sliced average variance estimation (SAVE)
dimension reduction method for dealing with spatially dependent data that are
observations of a strongly mixing random field. We propose kernel estimators
for the interest matrix and the effective dimension reduction (EDR) space, and
show their consistency.

14
The categories of this paper are: math-ph
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The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
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The categories of this paper are: eess
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-th
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: adap-org