Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Where Bayes tweaks Gauss: Conditionally Gaussian priors for stable
  multi-dipole estimation   We present a very simple yet powerful generalization of a previously
described model and algorithm for estimation of multiple dipoles from
magneto/electro-encephalographic data. Specifically, the generalization
consists in the introduction of a log-uniform hyperprior on the standard
deviation of a set of conditionally linear/Gaussian variables. We use numerical
simulations and an experimental dataset to show that the approximation to the
posterior distribution remains extremely stable under a wide range of values of
the hyperparameter, virtually removing the dependence on the hyperparameter.

8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph