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Volumn , Issue , 1999, Pages 228-232

MCMC and EM-based methods for inference in heavy-tailed processes with α-stable innovations

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; RANDOM PROCESSES; SIGNAL PROCESSING; STOCHASTIC SYSTEMS;

EID: 85017322712     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HOST.1999.778731     Document Type: Conference Paper
Times cited : (25)

References (13)
  • 2
    • 0003784328 scopus 로고    scopus 로고
    • PhD thesis, Cambridge University Engineering Department
    • p-norm approach. PhD thesis, Cambridge University Engineering Department, 1998.
    • (1998) p-norm Approach
    • Kuruoglu, E.C.1
  • 6
  • 7
    • 0346966135 scopus 로고    scopus 로고
    • Bayesian inference for time series with stable innovations
    • March
    • Z. Quiou and N. Ravishanker. Bayesian inference for time series with stable innovations. Journal of Time Series Analysis, 19(2):235-250, March 1998.
    • (1998) Journal of Time Series Analysis , vol.19 , Issue.2 , pp. 235-250
    • Quiou, Z.1    Ravishanker, N.2
  • 8
    • 0346940040 scopus 로고    scopus 로고
    • Monte Carlo inference in econometric models with symmetric stable disturbances
    • E.G. Tsionas. Monte carlo inference in econometric models with symmetric stable disturbances. J. Econometrics, 88:365-401, 1999.
    • (1999) J. Econometrics , vol.88 , pp. 365-401
    • Tsionas, E.G.1
  • 12
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior disiributions (with discussion)
    • L. Tierney. Markov chains for exploring posterior disiributions (with discussion). The Annals of Statistics, (22):1701-1762, 1994.
    • (1994) The Annals of Statistics , Issue.22 , pp. 1701-1762
    • Tierney, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.