Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Primal path algorithm for compositional data analysis   Compositional data have two unique characteristics compared to typical
multivariate data: the observed values are nonnegative and their summand is
exactly one. To reflect these characteristics, a specific regularized
regression model with linear constraints is commonly used. However, linear
constraints incur additional computational time, which becomes severe in
high-dimensional cases. As such, we propose an efficient solution path
algorithm for a $l_1$ regularized regression with compositional data. The
algorithm is then extended to a classification model with compositional
predictors. We also compare its computational speed with that of previously
developed algorithms and apply the proposed algorithm to analyze human gut
microbiome data.

18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin