Title :
Large deviations and consistent estimates for Gibbs random fields
Author_Institution :
Dept. of Math., Paris VII Univ., France
Abstract :
Large deviations estimates yield a convenient tool to study asymptotics of Gibbs fields. Applications to parametric estimation and detection of phase transition are given. Gibbs random fields provide pertinent statistical models for spacial data, where important features of the dependence structure can be captured in a very natural way
Keywords :
parameter estimation; random processes; signal detection; statistical analysis; Gibbs random fields; asymptotics; consistent estimates; dependence structure; large deviations; parametric estimation; phase transition detection; spacial data; statistical models; Bayesian methods; Convergence; Electric breakdown; Entropy; Image analysis; Phase detection; Phase estimation; Statistical analysis; Testing; Yield estimation;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513876
