Statistical Inference for Quantitative Polymerase Chain Reaction Using a Hidden Markov Model: A Bayesian Approach

DOI10.2202/1544-6115.1253zbMath1166.62351OpenAlexW2040464606WikidataQ51918484 ScholiaQ51918484MaRDI QIDQ5443033

Nadia Lalam

Publication date: 18 February 2008

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://www.bepress.com/sagmb/vol6/iss1/art10

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Applications of branching processes (60J85) Biochemistry, molecular biology (92C40)

Related Items (2)

A quantitative approach for polymerase chain reactions based on a hidden Markov model ⋮ Asymptotics of Posteriors for Binary Branching Processes

Uses Software

• WinBUGS

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