DocumentCode
2341463
Title
Large deviations and consistent estimates for Gibbs random fields
Author
Comets, Francis
Author_Institution
Dept. of Math., Paris VII Univ., France
fYear
1994
fDate
27-29 Oct 1994
Firstpage
43
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location
Alexandria, VA
Print_ISBN
0-7803-2761-6
Type
conf
DOI
10.1109/WITS.1994.513876
Filename
513876
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