Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Assumption Lean Regression   It is well known that models used in conventional regression analysis are
commonly misspecified. A standard response is little more than a shrug. Data
analysts invoke Box's maxim that all models are wrong and then proceed as if
the results are useful nevertheless. In this paper, we provide an alternative.
Regression models are treated explicitly as approximations of a true response
surface that can have a number of desirable statistical properties, including
estimates that are asymptotically unbiased. Valid statistical inference
follows. We generalize the formulation to include regression functionals, which
broadens substantially the range of potential applications. An empirical
application is provided to illustrate the paper's key concepts.

2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
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The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys