Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Regularization parameter selection in indirect regression by residual
  based bootstrap   Residual-based analysis is generally considered a cornerstone of statistical
methodology. For a special case of indirect regression, we investigate the
residual-based empirical distribution function and provide a uniform expansion
of this estimator, which is also shown to be asymptotically most precise. This
investigation naturally leads to a completely data-driven technique for
selecting a regularization parameter used in our indirect regression function
estimator. The resulting methodology is based on a smooth bootstrap of the
model residuals. A simulation study demonstrates the effectiveness of our
approach.

21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
1
The categories of this paper are: cs
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an