BAYESIAN ESTIMATION FOR THE SIGNAL PARAMETERS IN A GAUSSIAN RANDOM FIELD

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FARID ROUHANI M.R.; SHAFIEI HOULIGHI KH.

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Paper Information

Journal: JOURNAL OF STATISTICAL SCIENCES Year:2008 | Volume:1 | Issue:2 Page(s): 121-137

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Information Journal Paper

Title

BAYESIAN ESTIMATION FOR THE SIGNAL PARAMETERS IN A GAUSSIAN RANDOM FIELD

Author(s)

FARID ROUHANI M.R. | SHAFIEI HOULIGHI KH. | Issue Writer Certificate

Keywords

RANDOM FIELDQ4

SCALE SPACE RANDOM FIELDQ4

RADON-NIKODVM DERIVATIVEQ4

MCMCQ4

Abstract

In recent years, some statisticians have studied the signal detection problem by using the RANDOM FIELD theory. In this paper we have considered point estimation of the Gaussian scale space RANDOM FIELD parameters in the Bayesian approach. Since the posterior distribution for the parameters of interest does not have a closed form, we introduce the Markov Chain Monte Carlo (rv'ICrv'IC) algorithm to approximate the Bayesian estimations. vVc have also applied the proposed procedure to real flv'IRI data, collected by the Montreal Neurological Institute.

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APA: Copy

FARID ROUHANI, M.R., & SHAFIEI HOULIGHI, KH.. (2008). BAYESIAN ESTIMATION FOR THE SIGNAL PARAMETERS IN A GAUSSIAN RANDOM FIELD. JOURNAL OF STATISTICAL SCIENCES, 1(2), 121-137. SID. https://sid.ir/paper/124107/en

Vancouver: Copy

FARID ROUHANI M.R., SHAFIEI HOULIGHI KH.. BAYESIAN ESTIMATION FOR THE SIGNAL PARAMETERS IN A GAUSSIAN RANDOM FIELD. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2008;1(2):121-137. Available from: https://sid.ir/paper/124107/en

IEEE: Copy

M.R. FARID ROUHANI, and KH. SHAFIEI HOULIGHI, “BAYESIAN ESTIMATION FOR THE SIGNAL PARAMETERS IN A GAUSSIAN RANDOM FIELD,” JOURNAL OF STATISTICAL SCIENCES, vol. 1, no. 2, pp. 121–137, 2008, [Online]. Available: https://sid.ir/paper/124107/en

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