Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Calibration using Different Prior Distributions: an Iterative
  Maximum A Posteriori Approach for Radio Interferometers   In this paper, we aim to design robust estimation techniques based on the
compound-Gaussian (CG) process and adapted for calibration of radio
interferometers. The motivation beyond this is due to the presence of outliers
leading to an unrealistic traditional Gaussian noise assumption. Consequently,
to achieve robustness, we adopt a maximum a posteriori (MAP) approach which
exploits Bayesian statistics and follows a sequential updating procedure here.
The proposed algorithm is applied in a multi-frequency scenario in order to
enhance the estimation and correction of perturbation effects. Numerical
simulations assess the performance of the proposed algorithm for different
noise models, Student's t, K, Laplace, Cauchy and inverse-Gaussian
compound-Gaussian distributions w.r.t. the classical non-robust Gaussian noise
assumption.

33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th