Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spatial Clustering of Time-Series via Mixture of Autoregressions Models
  and Markov Random Fields   Time-series data arise in many medical and biological imaging scenarios. In
such images, a time-series is obtained at each of a large number of
spatially-dependent data units. It is interesting to organize these data into
model-based clusters. A two-stage procedure is proposed. In Stage 1, a mixture
of autoregressions (MoAR) model is used to marginally cluster the data. The
MoAR model is fitted using maximum marginal likelihood (MMaL) estimation via an
MM (minorization--maximization) algorithm. In Stage 2, a Markov random field
(MRF) model induces a spatial structure onto the Stage 1 clustering. The MRF
model is fitted using maximum pseudolikelihood (MPL) estimation via an MM
algorithm. Both the MMaL and MPL estimators are proved to be consistent.
Numerical properties are established for both MM algorithms. A simulation study
demonstrates the performance of the two-stage procedure. An application to the
segmentation of a zebrafish brain calcium image is presented.

20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
1
The categories of this paper are: cs
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc