Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: High breakdown point robust regression with censored data   In this paper, we propose a class of high breakdown point estimators for the
linear regression model when the response variable contains censored
observations. These estimators are robust against high-leverage outliers and
they generalize the LMS (least median of squares), S, MM and $\tau$-estimators
for linear regression. An important contribution of this paper is that we can
define consistent estimators using a bounded loss function (or equivalently, a
redescending score function). Since the calculation of these estimators can be
computationally costly, we propose an efficient algorithm to compute them. We
illustrate their use on an example and present simulation studies that show
that these estimators also have good finite sample properties.

9
The categories of this paper are: nlin
1
The categories of this paper are: cs
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys