Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: New advances in the Gaussian-process approach to pulsar-timing data
  analysis   In this work we review the application of the theory of Gaussian processes to
the modeling of noise in pulsar-timing data analysis, and we derive various
useful and optimized representations for the likelihood expressions that are
needed in Bayesian inference on pulsar-timing-array datasets. The resulting
viewpoint and formalism lead us to two improved parameter-sampling schemes
inspired by Gibbs sampling. The new schemes have vastly lower chain
autocorrelation lengths than the Markov Chain Monte Carlo methods currently
used in pulsar-timing data analysis, potentially speeding up Bayesian inference
by orders of magnitude. The new schemes can be used for a full-noise-model
analysis of the large datasets assembled by the International Pulsar Timing
Array collaboration, which present a serious computational challenge to
existing methods.

21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga