Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayes and Frequentism: a Particle Physicist's perspective   In almost every scientific field, an experiment involves collecting data and
then analysing it. The analysis stage will often consist in trying to extract
some physical parameter and estimating its uncertainty; this is known as
Parameter Determination. An example would be the determination of the mass of
the top quark, from data collected from high energy proton-proton collisions. A
different aim is to choose between two possible hypotheses. For example, are
data on the recession speed s of distant galaxies proportional to their
distance d, or do they fit better to a model where the expansion of the
Universe is accelerating?
  There are two fundamental approaches to such statistical analyses - Bayesian
and Frequentist. This article discusses the way they differ in their approach
to probability, and then goes on to consider how this affects the way they deal
with Parameter Determination and Hypothesis Testing. The examples are taken
from every-day life and from Particle Physics.

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The categories of this paper are: cs
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th