Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SPUX: Scalable Particle Markov Chain Monte Carlo for uncertainty
  quantification in stochastic ecological models   Calibration of individual based models (IBMs), successful in modeling complex
ecological dynamical systems, is often performed only ad-hoc. Bayesian
inference can be used for both parameter estimation and uncertainty
quantification, but its successful application to realistic scenarios has been
hindered by the complex stochastic nature of IBMs. Computationally expensive
techniques such as Particle Filter (PF) provide marginal likelihood estimates,
where multiple model simulations (particles) are required to get a sample from
the state distribution conditional on the observed data. Particle ensembles are
re-sampled at each data observation time, requiring particle destruction and
replication, which lead to an increase in algorithmic complexity. We present
SPUX, a Python implementation of parallel Particle Markov Chain Monte Carlo
(PMCMC) algorithm, which mitigates high computational costs by distributing
particles over multiple computational units. Adaptive load re-balancing
techniques are used to mitigate computational work imbalances introduced by
re-sampling. Framework performance is investigated and significant speed-ups
are observed for a simple predator-prey IBM model.

23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat