Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Systematic procedural and sensitivity analysis of the pattern
  informatics method for forecasting large (M > 5) earthquake events in
  southern California   Recent studies in the literature have introduced a new approach to earthquake
forecasting based on representing the space-time patterns of localized
seismicity by a time-dependent system state vector in a real-valued Hilbert
space and deducing information about future space-time fluctuations from the
phase angle of the state vector. While the success rate of this Pattern
Informatics (PI) method has been encouraging, the method is still in its
infancy. Procedural analysis, statistical testing, parameter sensitivity
investigation and optimization all still need to be performed. In this paper,
we attempt to optimize the PI approach by developing quantitative values for
"predictive goodness" and analyzing possible variations in the proposed
procedure. In addition, we attempt to quantify the systematic dependence on the
quality of the input catalog of historic data and develop methods for combining
catalogs from regions of different seismic rates.

9
The categories of this paper are: nlin
16
The categories of this paper are: stat
1
The categories of this paper are: cs
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin