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Markov chain Monte Carlo in practice

Contributor(s): Material type: TextTextPublication details: London Chapman & Hall/CRC 1998 Description: xvii, 486 pISBN:
  • 9780412055515
Subject(s): DDC classification:
  • 519.1
Summary: In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interacIn a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France, researchers map a rare disease with relatively little variation.Each of these studies applied Markov chain Monte Carlo methods to produce more accurate and inclusive results. General state-space Markov chain theory has seen several developments that have made it both more accessible and more powerful to the general statistician. Markov Chain Monte Carlo in Practice introduces MCMC methods and their applications.
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-B / Slot 1395 (0 Floor, East Wing) General Stacks 519.1 M21 (Browse shelf(Opens below)) Available 158969

In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interacIn a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France, researchers map a rare disease with relatively little variation.Each of these studies applied Markov chain Monte Carlo methods to produce more accurate and inclusive results. General state-space Markov chain theory has seen several developments that have made it both more accessible and more powerful to the general statistician. Markov Chain Monte Carlo in Practice introduces MCMC methods and their applications.

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