Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generalized partially linear models on Riemannian manifolds   The generalized partially linear models on Riemannian manifolds are
introduced. These models, like ordinary generalized linear models, are a
generalization of partially linear models on Riemannian manifolds that allow
for response variables with error distribution models other than a normal
distribution. Partially linear models are particularly useful when some of the
covariates of the model are elements of a Riemannian manifold, because the
curvature of these spaces makes it difficult to define parametric models. The
model was developed to address an interesting application, the prediction of
children's garment fit based on 3D scanning of their body. For this reason, we
focus on logistic and ordinal models and on the important and difficult case
where the Riemannian manifold is the three-dimensional case of Kendall's shape
space. An experimental study with a well-known 3D database is carried out to
check the goodness of the procedure. Finally it is applied to a 3D database
obtained from an anthropometric survey of the Spanish child population. A
comparative study with related techniques is carried out.

1
The categories of this paper are: cs
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an