Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Group-Average and Convex Clustering for Partially Heterogeneous Linear
  Regression   In this paper, a subgroup least squares and a convex clustering are
introduced for inferring a partially heterogenous linear regression that has
potential application in the areas of precision marketing and precision
medicine. The homogenous parameter and the subgroup-average of the heterogenous
parameters can be consistently estimated by the subgroup least squares, without
need of the sparsity assumption on the heterogenous parameters. The
heterogenous parameters can be consistently clustered via the convex
clustering. Unlike the existing methods for regression clustering, our
clustering procedure is a standard mean clustering, although the model under
study is a type of regression, and the corresponding algorithm only involves
low dimensional parameters. Thus, it is simple and stable even if the sample
size is large. The advantage of the method is further illustrated via
simulation studies and the analysis of car sales data.

3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
1
The categories of this paper are: cs
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
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The categories of this paper are: cmp-lg