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The Posterior metric and the Goodness of Gibbsianness for transforms of Gibbs measures

  
@article{EJP560,
	author = {Christof Külske and Alex Opoku},
	title = {The Posterior metric and the Goodness   of Gibbsianness  for transforms of Gibbs measures},
	journal = {Electron. J. Probab.},
	fjournal = {Electronic Journal of Probability},
	volume = {13},
	year = {2008},
	keywords = {Time-evolved Gibbs measures, non-Gibbsian  measures: Dobrushin uniqueness; phase   transitions; specification; posterior metric},
	abstract = {We present a general method to derive  continuity estimates for conditional probabilities of general  (possibly continuous) spin models subjected to local  transformations. Such systems arise in the study of a stochastic  time-evolution of Gibbs measures or as noisy observations.   Assuming no a priori metric on the local state spaces but only a measurable   structure, we define the posterior metric on the local image space.   We show that it allows in a natural way to divide  the local part of the continuity estimates from the spatial part  (which is treated by Dobrushin uniqueness here).    We show in the  concrete example of the time evolution of   rotators on the $(q-1)$-dimensional sphere how this  method can be used to obtain estimates in terms of the familiar  Euclidean metric.  In another application we prove the preservation of Gibbsianness for   sufficiently fine local coarse-grainings when the Hamiltonian satisfies a Lipschitz   property},
	pages = {no. 47, 1307-1344},
	issn = {1083-6489},
	doi = {10.1214/EJP.v13-560},    
        url = {http://ejp.ejpecp.org/article/view/560}}