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Books by ISBA Members

  1. Economic Modeling and Inference by
    Bent Jesper Christensen and Nicholas M. Kiefer. Princeton University Press, 2009.
  2. A First Course in Bayesian Statistical Methods by
    Peter Hoff. Springer, 2009.
  3. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by
    Pierre Bessière, Christian laugler, and Roland Siegwart (eds). Springer, 2008.
  4. Bayesian Core: A Practical Approach to Computational Bayesian Analysis by
    Jean-Michel Marin and Christian P. Robert. Springer-Verlag, 2007.
  5. Bayesian Biostatistics and Diagnostic Medicine by
    Lyle D. Broemeling. Chapman & Hall/CRC, 2007.
  6. The Bayesian Choice: From Decision-Theoretic Foundations to
    Computational Implementation (2/e)    , by
    Christian Robert. Springer-Verlag, 2007.
  7. Bayesian Statistics 8 by
    J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman,
    A. F. Smith and M. West (eds). Oxford University Press, 2007
  8. Introduction to Bayesian Statistics, 2nd Edition by
    William M. Bolstad. John Wiley & Sons, 2007.
  9. Uncertain Judgements: Eliciting Expert's Probabilities by
    Anthony O' Hagan and the BEEP team, John Wiley & Sons, 2006.
  10. Reliability & Risk: A Bayesian Perspective
    by Nozer D. Singpurwalla. John Wiley & Sons, 2006.
  11. Bayes Linear Statistics: Theory and Methods by
    Michael Goldstein and David Wooff. John Wiley & Sons, 2006.
  12. Gaussian Markov Random Fields: Theory and Applications by
    Håvard Rue and Leonhard Held. Chapman & Hall, 2005.
  13. Bayesian Models for Categorical Data by
    Peter Congdon. Wiley, 2005.
  14. Statistics, Econometrics and Forecasting by
    Arnold Zellner. Cambridge University Press, 2004.
  15. Bayesian Econometrics by
    Gary Koop. John Wiley & Sons, 2004.
  16. An Introduction to Modern Bayesian Econometrics by
    Tony Lancaster. Blackwell, 2004.
  17. Subjective and Objective Bayesian Statistics: Principles, Models, and
    Applications, 2nd Edition, by
    S. James Press. John Wiley & Sons, 2003.
  18. Tools for Constructing Chronologies: Crossing Disciplinary Boundaries by
    Caitlin E. Buck and Andrew R. Millard (eds). Springer Verlag, 2003.
  19. Measurement Error and Misclassification in Statistics and Epidemiology:
    Impacts and Bayesian Adjustments     by
    Paul Gustafson. CRC Press, 2003.
  20. Hierarchical Bayesian Modeling and Analysis for Spatial Data by
    Sudipto Banerjee, Bradley P. Carlin, and Alan E. Gelfand. CRC Press, 2003.
  21. Bayesian reasoning in data analysis, A critical introduction by
    Giulio D'Agostini. World Scientific Publishing, 2003.
  22. The Structural Theory of Probability: New Ideas from Computer Science on
    the Ancient Problem of Probability Interpretation     by
    Paolo Rocchi. Kluwer/Plenum, 2003.
  23. Bayesian Statistics 7 by
    J. M. Bernardo, A. P. Dawid, J. O. Berger, M. West, D. Heckerman,
    M. J. Bayarri and A. F. M. Smith (eds). Oxford University Press, 2003
  24. Bayesian Methods: A Social and Behavioral Sciences Approach by
    Jeff Gill. CRC Press, 2002.
  25. Multivariate Bayesian Statistics: Models for Source Separation and
    Signal Unmixing     by
    Daniel B. Rowe. CRC Press, 2002.
  26. Sequential Monte Carlo Methods in Practice by
    Arnaud Doucet, Nando de Freitas and Neil Gordon (eds). Springer Verlag, 2001.
  27. Bayesian Statistical Modelling by
    Peter Congdon. Wiley, 2001.
  28. Bayesian Survival Analysis by
    Joseph G. Ibrahim, Ming-Hui Chen, and Debajyoti Sinha. Springer-Verlag, 2001.
  29. The Subjectivity of Scientists and the Bayesian Approach by
    S. James Press and Judith M. Tanur. John Wiley & Sons, 2001.
  30. Monte Carlo Methods in Bayesian Computation by
    Ming-Hui Chen, Qi-Man Shao, and Joseph G. Ibrahim. Springer-Verlag, 2000.
  31. Bayesian Analysis of Linear Models, Vol 60, Textbooks and Monographs by
    Lyle D. Broemeling, Marcel-Dekker Inc, New York, New York.
  32. Econometrics and Structural Change, Volume 74, Textbooks and Monographs by
    Lyle D. Broemeling and Hiroki Tsurumi, Marcel-Dekker, New York.
  33. Discretization and MCMC Convergence Assessment, by
    Christian Robert. Springer-Verlag, 1998.
  34. Statistics: A Bayesian Perspective by
    Donald A. Berry, Duxbury Press, 1996.
  35. Bayesian Analysis in Econometrics and Statistics: The Zellner View and Papers by
    Edward Elgar Publishing, 1997.
  36. Practical Nonparametric and Semiparametric Bayesian Statistics, edited by
    Dipak K. Dey, Peter Müller and Debajyoti Sinha. Springer-Verlag
    Lecture notes series, #133, 1998.
  37. A Probabilistic Analysis of the Sacco and Vanzetti Evidence by
    Joseph B. Kadane and David A. Schum. Wiley, 1996.
  38. Bayesian Methods and Ethics in a Clinical Trial Design, edited by
    Joseph B. Kadane, Wiley, 1996.
  39. Bayesian Forecasting and Dynamic Models, 2nd Edition - by
    Mike West and Jeff Harrison. Springer, 1999.
  40. Applied Bayesian Forecasting and Time Series Analysis by
    Andy Pole, Mike West and Jeff Harrison. Chapman-Hall/CRC, 1994.
  41. Rational Descriptions, Decisions and Designs by
    Myron Tribus.
  42. Probabilistic Networks and Expert Systems by
    R.G. Cowell, A.P. Dawid, S.L. Lauritzen and D.J. Spiegelhalter.
  43. Bayesian Theory by
    Jose M. Bernardo and Adrian F. M. Smith, 1994.
  44. Bayesian Statistics 6 edited by
    Jose M. Bernardo, James O. Berger A. Philip Dawid and Adrian F. Smith, 1999.
  45. Kendall's Advanced Theory of Statistics: Volume 2B by
    Anthony O'Hagan. Hodder Arnold, 1994.
  46. Bayesian Statistics 3rd Edition by
    Peter M. Lee. Wiley, 2009.
  47. The Practice of Bayesian Analysis edited by
    Simon French and Jim Q. Smith. Hodder Arnold, 1997.
  48. Statistical Inference by
    Helio S. Migon and Dani Gamerman. Hodder Arnold, 1999.
  49. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference by
    Dani Gamerman. Chapman&Hall/CRC, 1997.
  50. Probability Methods for Cost Uncertainty Analysis - A Systems Engineering Perspective by
    Paul Garvey. CRC, 1999.
  51. Bayesian Statistics: Principles, Models and Applications by
    S. James Press. Wiley, 1989.
  52. Bayesian reasoning in high energy physics: Principles and applications by
    Giulio D'Agostini. CERN, 1999.
  53. Bayesian Methods in the Sciences by
    J. M. Bernardo. Madrid: Real Academia de Ciencias, 1999.
  54. Bayes and Empirical Bayes Methods for Data Analysis, Second Edition by
    Bradley Carlin and Thomas A. Louis. Chapman&Hall/CRC, 2000.
  55. Robust Bayesian Analysis edited by
    Fabrizio Ruggeri and David Rios Insua. Springer, 2000.
  56. Bayesian Inference in Dynamic Econometric Models by
    Luc Bauwens, Michel Lubrano and Jean-François Richard. Oxford University Press, 1999.
  57. Pattern Classification (2nd. ed.) by
    R. O. Duda, P. E. Hart and D. G. Stork, Wiley, 2001.
  58. Operational Subjective Statistical Methods: a mathematical, philosophical and historical introduction by
    Frank Lad. Wiley-Interscience, 1996.
  59. Monte Carlo Statistical Methods by
    Christian Robert and George Casella, Springer-Verlag, New York, 1999.