Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantitative approximations of evolving probability measures and
  sequential Markov Chain Monte Carlo methods   We study approximations of evolving probability measures by an interacting
particle system. The particle system dynamics is a combination of independent
Markov chain moves and importance sampling/resampling steps. Under global
regularity conditions, we derive non-asymptotic error bounds for the particle
system approximation. In a few simple examples, including high dimensional
product measures, bounds with explicit constants of feasible size are obtained.
Our main motivation are applications to sequential MCMC methods for Monte Carlo
integral estimation.

11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat