A stochastic model of carcinogenesis and tumor size at detection

Advances in Applied Probability

Volumn 29, Issue 3, 1997, Pages 607-628

  Hanin, L G ^a   Rachev, S T ^b   Tsodikov, A D ^c   Yakovlev, A Yu ^d,e  

^a WAYNE STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF LEIPZIG   (Germany)

^d UNIVERSITY OF UTAH   (United States)

^e UNIVERSITY OF UTAH   (United States)

Author keywords

Asymptotic properties; Bayes theorem; Carcinogenesis; Conditional distribution; Probability metrics; Stability to priors; Stochastic model; Tumor size

Indexed keywords

ASYMPTOTIC STABILITY; CONVERGENCE OF NUMERICAL METHODS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY; RANDOM PROCESSES;

BAYES THEOREM; CARCINOGENESIS; CONDITIONAL DISTRIBUTION; TUMOR SIZE;

ONCOLOGY;

EID: 0031221169     PISSN: 00018678     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0001867800028275     Document Type: Article

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