Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On adaptivity of wavelet thresholding estimators with negatively
  super-additive dependent noise   This paper considers the nonparametric regression model with negatively
super-additive dependent (NSD) noise and investigates the convergence rates of
thresholding estimators. It is shown that the term-by-term thresholding
estimator achieves nearly optimal and the block thresholding estimator attains
optimal (or nearly optimal) convergence rates over Besov spaces. Additionally,
some numerical simulations are implemented to substantiate the validity and
adaptivity of the thresholding estimators with the presence of NSD noise.

25
The categories of this paper are: patt-sol
1
The categories of this paper are: cs
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th