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Volumn 51, Issue 9-10, 2008, Pages 2313-2334

Estimation of parameters in multi-mode heat transfer problems using Bayesian inference - Effect of noise and a priori

Author keywords

A priori model; Bayesian inference; Inverse problems; Noise; Parameter estimation; Unsteady heat conduction

Indexed keywords

ALGORITHMS; BOUNDARY CONDITIONS; INVERSE PROBLEMS; PARAMETER ESTIMATION;

EID: 41849098583     PISSN: 00179310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijheatmasstransfer.2007.08.031     Document Type: Article
Times cited : (70)

References (14)
  • 1
    • 41849122982 scopus 로고    scopus 로고
    • M. Deiveegan, V. Swaminathan, C. Balaji, S.P. Venkateshan, A Bayesian algorithm for the retrieval of geophysical parameters in the Atmosphere, in: Proceedings from 13th International Heat Transfer Conference, Sydney, Australia, 2006.
    • M. Deiveegan, V. Swaminathan, C. Balaji, S.P. Venkateshan, A Bayesian algorithm for the retrieval of geophysical parameters in the Atmosphere, in: Proceedings from 13th International Heat Transfer Conference, Sydney, Australia, 2006.
  • 2
    • 33646859727 scopus 로고    scopus 로고
    • Bayesian parameter estimation of convective heat transfer coefficients of a roof-mounted radiant barrier system
    • Lauret P., Miranville F., Boyer H., Garde F., and Adelard L. Bayesian parameter estimation of convective heat transfer coefficients of a roof-mounted radiant barrier system. J. Solar Energy 128 (2006) 213-225
    • (2006) J. Solar Energy , vol.128 , pp. 213-225
    • Lauret, P.1    Miranville, F.2    Boyer, H.3    Garde, F.4    Adelard, L.5
  • 6
    • 41849146687 scopus 로고    scopus 로고
    • R.M. Neal, Philosophy of Bayesian Inference, http://www.cs.toronto.edu/~radford/res-bayes-ex.html, 1998.
    • R.M. Neal, Philosophy of Bayesian Inference, http://www.cs.toronto.edu/~radford/res-bayes-ex.html, 1998.
  • 7
    • 2942753787 scopus 로고    scopus 로고
    • A Bayesian inference approach to the inverse heat conduction problem
    • Wang J., and Zabaras N. A Bayesian inference approach to the inverse heat conduction problem. Int. J. Heat Mass Transfer 47 (2004) 3927-3941
    • (2004) Int. J. Heat Mass Transfer , vol.47 , pp. 3927-3941
    • Wang, J.1    Zabaras, N.2
  • 8
    • 41849096285 scopus 로고    scopus 로고
    • R.M. Neal, Probabilistic Inference Using Markov Chain Monte Carlo Methods, Technical Report, CRG-TR-93-1, Department of Computer Science, University of Toronto, September, 1993.
    • R.M. Neal, Probabilistic Inference Using Markov Chain Monte Carlo Methods, Technical Report, CRG-TR-93-1, Department of Computer Science, University of Toronto, September, 1993.
  • 10
    • 41849139217 scopus 로고    scopus 로고
    • L. Chen, Z. Qin, J.S. Liu, Exploring hybrid Monte Carlo in Bayesian computation, in: Proceedings of International Society for Bayesian Analysis, Sixth World meeting, 2000.
    • L. Chen, Z. Qin, J.S. Liu, Exploring hybrid Monte Carlo in Bayesian computation, in: Proceedings of International Society for Bayesian Analysis, Sixth World meeting, 2000.
  • 11
    • 13744250201 scopus 로고    scopus 로고
    • Hierarchical Bayesian models for inverse problems in heat conduction
    • Wang J., and Zabaras N. Hierarchical Bayesian models for inverse problems in heat conduction. Inverse Problems 21 (2005) 183-206
    • (2005) Inverse Problems , vol.21 , pp. 183-206
    • Wang, J.1    Zabaras, N.2
  • 12
    • 0037089868 scopus 로고    scopus 로고
    • Non-subjective Bayes testing - an overview
    • Ghosh J.K., and Samanta T. Non-subjective Bayes testing - an overview. J. Stat. Planning Inference 103 (2002) 205-223
    • (2002) J. Stat. Planning Inference , vol.103 , pp. 205-223
    • Ghosh, J.K.1    Samanta, T.2
  • 14
    • 33947658976 scopus 로고    scopus 로고
    • Using Bayesian inference for parameter estimation when the system response and experimental conditions are measured with error and some variables are considered as nuisance variables
    • Emery A.F., Valenti E., and Bardot D. Using Bayesian inference for parameter estimation when the system response and experimental conditions are measured with error and some variables are considered as nuisance variables. Measur. Sci. Technol. 18 (2007) 19-29
    • (2007) Measur. Sci. Technol. , vol.18 , pp. 19-29
    • Emery, A.F.1    Valenti, E.2    Bardot, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.