Series: Interdisciplinary Statistics

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Works (2)

Introduction to Computational Biology: Maps, Sequences and Genomes by Michael S. Waterman
Markov Chain Monte Carlo in Practice by W.R. Gilks

Related tags


  1. Bayes and Empirical Bayes Methods for Data Analysis, Second Edition by Bradley P. Carlin (1996)
  2. Bioinformatics For Dummies by Jean-Michel Claverie (2003)
  3. Functional Data Analysis by Jo Ramsay (1997)
  4. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids by Richard Durbin (1998)
  5. Dictionary/Outline of Basic Statistics by John E. Freund (1991)
  6. Bayesian Data Analysis by Andrew Gelman (1995)
  7. An Introduction to Bioinformatics Algorithms by Neil C. Jones (2004)
  8. Bootstrap Methods and Their Application by A. C. Davison (1997)
  9. Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology by Dan Gusfield (1997)
  10. Monte Carlo Statistical Methods by Christian P. Robert (1999)
  11. The EM Algorithm and Extensions by Geoffrey J. McLachlan (1997)
  12. Mathematical and Statistical Methods for Genetic Analysis by Kenneth Lange (1997)
  13. Survival Analysis: Techniques for Censored and Truncated Data by John P. Klein (1997)
  14. An Introduction to the Bootstrap by Bradley Efron (1993)
  15. Data Analysis: A Bayesian Tutorial by Devinderjit Sivia (1996)

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AnnaClaire (2)
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