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There are 60116 results for: content related to: Understanding Computational Bayesian Statistics. W. M. Bolstad (2010). Hoboken, NJ, USA: Wiley. ISBN 978-0-470-04609-8.

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    Front Matter

    Understanding Computational Bayesian Statistics

    William M. Bolstad, Pages: i–xiv, 2012

    Published Online : 20 JAN 2012, DOI: 10.1002/9780470567371.fmatter

  2. Introduction

    Case Studies in Bayesian Statistical Modelling and Analysis

    Clair L. Alston, Margaret Donald, Kerrie L. Mengersen, Anthony N. Pettitt, Pages: 1–16, 2012

    Published Online : 30 OCT 2012, DOI: 10.1002/9781118394472.ch1

  3. You have free access to this content
    Frontmatter

    Introduction to Bayesian Statistics, Second Edition

    William M. Bolstad, Pages: i–xxiv, 2007

    Published Online : 23 MAR 2007, DOI: 10.1002/9780470181188.fmatter

  4. Markov Chain Monte Carlo and Bayesian Statistics

    Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics

    Paolo Brandimarte, Pages: 629–647, 2014

    Published Online : 20 JUN 2014, DOI: 10.1002/9781118593264.ch14

  5. Introduction to Bayesian Statistics by BOLSTAD, W. M.

    Biometrics

    Volume 64, Issue 3, September 2008, Page: 998,

    Version of Record online : 18 AUG 2008, DOI: 10.1111/j.1541-0420.2008.01082_15.x

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    Appendix D: Using the Included R Functions

    Introduction to Bayesian Statistics, Second Edition

    William M. Bolstad, Pages: 387–403, 2007

    Published Online : 23 MAR 2007, DOI: 10.1002/9780470181188.app4

  7. Applied Biostatistics for the Health Sciences. R. J. Rossi (2010). Hoboken, NJ: John Wiley & Sons, Inc. ISBN: 978-0-470-14764-1.

    Biometrical Journal

    Volume 53, Issue 1, February 2011, Pages: 156–157, Dr. Burkhardt Seifert

    Version of Record online : 15 DEC 2010, DOI: 10.1002/bimj.201000215

  8. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS. T. W. O'Gorman (2012). Hoboken, NJ: John Wiley & Sons. 364 pages, ISBN: 978-0-470-92225-5.

    Biometrical Journal

    Volume 55, Issue 5, September 2013, Page: 818, Wiebke Werft

    Version of Record online : 8 JUL 2013, DOI: 10.1002/bimj.201300070

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    Wiley Series in Computational Statistics

    Understanding Computational Bayesian Statistics

    William M. Bolstad, Page: 317, 2012

    Published Online : 20 JAN 2012, DOI: 10.1002/9780470567371.scard

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    Reviews

    Significance

    Volume 1, Issue 4, December 2004, Pages: 185–187,

    Version of Record online : 13 DEC 2004, DOI: 10.1111/j.1740-9713.2004.00069.x

  11. Foundations of Linear and Generalized Linear Models. A. Agresti (2015). Hoboken, NJ: John Wiley & Sons, Inc. 444 pages, ISBN 978-1-118-73003-4

    Biometrical Journal

    Jelle J. Goeman

    Version of Record online : 17 MAY 2016, DOI: 10.1002/bimj.201600036

  12. Introduction to Bayesian Statistics

    Understanding Computational Bayesian Statistics

    William M. Bolstad, Pages: 1–24, 2012

    Published Online : 20 JAN 2012, DOI: 10.1002/9780470567371.ch1

  13. A personal history of Bayesian statistics

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 6, Issue 2, March/April 2014, Pages: 80–115, Thomas Hoskyns Leonard

    Version of Record online : 31 JAN 2014, DOI: 10.1002/wics.1293

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    B: Using the Included R Functions

    Understanding Computational Bayesian Statistics

    William M. Bolstad, Pages: 289–306, 2012

    Published Online : 20 JAN 2012, DOI: 10.1002/9780470567371.app2

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    The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics. K. H. Jarman (2013). Hoboken, NJ: John Wiley & Sons. 179 pages, ISBN: 978-1-118-41131-5.

    Biometrical Journal

    Volume 58, Issue 1, January 2016, Pages: 240–241, Benjamin Mayer

    Version of Record online : 13 SEP 2015, DOI: 10.1002/bimj.201500140

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    References

    Introduction to Bayesian Statistics, Second Edition

    William M. Bolstad, Pages: 431–432, 2007

    Published Online : 23 MAR 2007, DOI: 10.1002/9780470181188.refs

  17. You have free access to this content
    Appendix D: Using the Included R Functions

    Introduction to Bayesian Statistics

    William M. Bolstad, Pages: 317–327, 2005

    Published Online : 28 JAN 2005, DOI: 10.1002/047172212X.app4

  18. Bayesian Statistics Using Conjugate Priors

    Understanding Computational Bayesian Statistics

    William M. Bolstad, Pages: 61–100, 2012

    Published Online : 20 JAN 2012, DOI: 10.1002/9780470567371.ch4

  19. Practical considerations for using functional uniform prior distributions for dose-response estimation in clinical trials

    Biometrical Journal

    Volume 56, Issue 6, November 2014, Pages: 947–962, Björn Bornkamp

    Version of Record online : 2 JUL 2014, DOI: 10.1002/bimj.201300138

  20. Bayesian shared spatial-component models to combine and borrow strength across sparse disease surveillance sources

    Biometrical Journal

    Volume 54, Issue 3, May 2012, Pages: 385–404, Sophie Ancelet, Juan J. Abellan, Víctor J. Del Rio Vilas, Colin Birch and Sylvia Richardson

    Version of Record online : 11 JUN 2012, DOI: 10.1002/bimj.201000106