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Volumn , Issue , 2013, Pages

Scalable inference for logistic-normal topic models

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION STRUCTURE; DATA AUGMENTATION; GIBBS SAMPLING; LARGE-SCALE APPLICATIONS; MIXING PROPORTIONS; MULTINOMIALS; PARALLEL IMPLEMENTATIONS; TIME EFFICIENCIES;

EID: 84898939461     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (67)

References (21)
  • 8
    • 84867151416 scopus 로고    scopus 로고
    • Bayesian auxiliary variable models for binary and multinomial regression
    • C. Holmes and L. Held. Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis, 1(1):145-168, 2006.
    • (2006) Bayesian Analysis , vol.1 , Issue.1 , pp. 145-168
    • Holmes, C.1    Held, L.2
  • 14
    • 0001153986 scopus 로고
    • Simulation of truncated normal variables
    • C. P. Robert. Simulation of truncated normal variables. Statistics and Compuating, 5:121-125, 1995.
    • (1995) Statistics and Compuating , vol.5 , pp. 121-125
    • Robert, C.P.1
  • 17
    • 84950758368 scopus 로고
    • The calculation of posterior distributions by data augmentation
    • M. A. Tanner andW. H.Wong. The calculation of posterior distributions by data augmentation. Journal of the Americal Statistical Association, 82(398):528-540, 1987.
    • (1987) Journal of the Americal Statistical Association , vol.82 , Issue.398 , pp. 528-540
    • Tanner, M.A.1    Wong, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.