Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BayesicFitting, a PYTHON Toolbox for Bayesian Fitting and Evidence
  Calculation   BayesicFitting is a comprehensive, general-purpose toolbox for simple and
standardized model fitting. Its fitting options range from simple least-squares
methods, via maximum likelihood to fully Bayesian inference, working on a
multitude of available models. BayesicFitting is open source and has been in
development and use since the 1990s. It has been applied to a variety of
science applications, chiefly in astronomy.
  BayesicFitting consists of a collection of PYTHON classes that can be
combined to solve quite complicated inference problems. Amongst the classes are
models, fitters, priors, error distributions, engines, samples, and of course
NestedSampler, our general-purpose implementation of the nested sampling
algorithm.
  Nested sampling is a novel way to perform Bayesian calculations. It can be
applied to inference problems, that consist of a parameterized model to fit
measured data to. NestedSampler calculates the Bayesian evidence as the numeric
integral over the posterior probability of (hyper)parameters of the problem.
The solution in terms of the parameters is obtained as a set of weighted
samples drawn from the posterior.
  In this paper, we emphasize nested sampling and all classes that are directly
connected to it. Additionally, we present the fitters, which fit the data by
the least-squares method or the maximum likelihood method. They can also
calculate the Bayesian evidence as a Gaussian approximation.
  We will discuss the architecture of the toolbox. Which classes are present,
what is their function, how they are related and implementational details where
it gets complicated.

23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
1
The categories of this paper are: cs
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
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The categories of this paper are: stat
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The categories of this paper are: comp-gas
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
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The categories of this paper are: eess
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The categories of this paper are: acc-phys