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Volumn 497, Issue 2-3, 2003, Pages 492-510

Bayesian model selection and parameter estimation of nuclear emission spectra using RJMCMC

Author keywords

Bayesian inference; Deconvolution; Gaussian peak estimation; Model selection; Nuclear spectrometry; Spectroscopy

Indexed keywords

COMPUTER SIMULATION; MARKOV PROCESSES; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY; SPECTROSCOPIC ANALYSIS;

EID: 0037303248     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-9002(02)01807-7     Document Type: Article
Times cited : (69)

References (23)
  • 9
    • 0012664124 scopus 로고    scopus 로고
    • Spectra, Academic Press, New York, (Chapter 8)
    • P.A. Jansson (Ed.), Deconvolution of Images, Spectra, Academic Press, New York, 1997 (Chapter 8).
    • (1997) Deconvolution of Images
    • Jansson, P.A.1
  • 10
    • 0012694160 scopus 로고    scopus 로고
    • Analysis of mixtures in physical spectra
    • Crete, Greece, 2000
    • R. Fischer, V. Dose, Analysis of mixtures in physical spectra, in: Proceedings of ISBA 2000, Crete, Greece, 2000.
    • Proceedings of ISBA 2000
    • Fischer, R.1    Dose, V.2
  • 12
    • 0004069060 scopus 로고    scopus 로고
    • Technical Report CUED/F-INFENG/TR.343, University of Cambridge, Signal Processing Laboratory, Department of Engineering
    • C. Andrieu, J.F.G. de Freitas, A. Doucet, Robust full Bayesian learning for neural networks, Technical Report CUED/F-INFENG/TR.343, University of Cambridge, Signal Processing Laboratory, Department of Engineering, 1999.
    • (1999) Robust Full Bayesian Learning for Neural Networks
    • Andrieu, C.1    De Freitas, J.F.G.2    Doucet, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.