Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hilbert Space Multi-dimensional Modeling   This article presents general procedures for constructing, estimating, and
testing Hilbert space multi-dimensional (HSM) models, which are based on
quantum probability theory. HSM models can be applied to collections of K
different contingency tables obtained from a set of p variables that are
measured under different contexts. A context is defined by the measurement of a
subset of the p variables that are used to form a table. HSM models provide a
representation of the collection of K tables in a low dimensional vector space,
even when no single joint probability distribution across the p variables
exists. HSM models produce parameter estimates that provide a simple and
informative interpretation of the complex collection of tables. Comparisons of
HSM model fits with Bayes net model fits are reported for a new large
experiment, demonstrating the viability of this new model. We conclude that the
model is broadly applicable to social and behavioral science data sets.

21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom