Hierarchical bayesian neural networks: An application to a prostate cancer study

Journal of the American Statistical Association

Volumn 99, Issue 467, 2004, Pages 601-608

  Ghosh, Malay ^a   Maiti, Tapabrata ^b   Kim, Dalho ^c   Chakraborty, Sounak ^a   Tewari, Ashutosh ^d  

^a University of Florida ^*  (United States)

^b Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

^c Kyungpook National University   (South Korea)

^d HENRY FORD HOSPITAL   (United States)

Author keywords

Bayesian prediction; Feedforward neural networks; Logistic regression; Marginal positivity; Markov chain Monte Carlo; Seminal vesicle positivity

Indexed keywords

EID: 4944241445     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/016214504000000665     Document Type: Review

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