Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parameter inference and model selection in deterministic and stochastic
  dynamical models via approximate Bayesian computation: modeling a wildlife
  epidemic   We consider the problem of selecting deterministic or stochastic models for a
biological, ecological, or environmental dynamical process. In most cases, one
prefers either deterministic or stochastic models as candidate models based on
experience or subjective judgment. Due to the complex or intractable likelihood
in most dynamical models, likelihood-based approaches for model selection are
not suitable. We use approximate Bayesian computation for parameter estimation
and model selection to gain further understanding of the dynamics of two
epidemics of chronic wasting disease in mule deer. The main novel contribution
of this work is that under a hierarchical model framework we compare three
types of dynamical models: ordinary differential equation, continuous time
Markov chain, and stochastic differential equation models. To our knowledge
model selection between these types of models has not appeared previously.
Since the practice of incorporating dynamical models into data models is
becoming more common, the proposed approach may be very useful in a variety of
applications.

10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys