Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian State Space Modeling of Physical Processes in Industrial
  Hygiene   Exposure assessment models are deterministic models derived from
physical-chemical laws. In real workplace settings, chemical concentration
measurements can be noisy and indirectly measured. In addition, inference on
important parameters such as generation and ventilation rates are usually of
interest since they are difficult to obtain. In this paper we outline a
flexible Bayesian framework for parameter inference and exposure prediction. In
particular, we propose using Bayesian state space models by discretizing the
differential equation models and incorporating information from observed
measurements and expert prior knowledge. At each time point, a new measurement
is available that contains some noise, so using the physical model and the
available measurements, we try to obtain a more accurate state estimate, which
can be called filtering. We consider Monte Carlo sampling methods for parameter
estimation and inference under nonlinear and non-Gaussian assumptions. The
performance of the different methods is studied on computer-simulated and
controlled laboratory-generated data. We consider some commonly used exposure
models representing different physical hypotheses.

23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph