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Some Books by ISBA Members
As a service to ISBA members we present here a list of some books published
by ISBA members on Bayesian inference together with a short synopsis or
review. Please note we are not attempting complete coverage here. If you
would like to add a book (perhaps your own) to the list please email the
webmaster a description, review or a link to this.
- Statistics: A Bayesian Perspective -
by Donald A. Berry. Duxbury Press, 1996.
- Bayesian Analysis in Econometrics and
Statistics: The Zellner View and Papers. Edward Elgar Publishing, 1997.
-
Practical Nonparametric and Semiparametric Bayesian Statistics - edited
by Dipak K. Dey, Peter Müller and Debajyoti Sinha. Springer-Verlag
Lecture notes series, #133, 1998.
- A Probabilistic Analysis of the Sacco and
Vanzetti Evidence - by Joseph B. Kadane and David A. Schum. Wiley,
1996.
- Bayesian Methods and
Ethics in a Clinical Trial Design - edited by Joseph B. Kadane.
Wiley, 1996.
- Bayesian
Forecasting and Dynamic Models, 2nd Edition - by Mike West and
Jeff Harrison. Springer, 1999.
- Applied Bayesian
Forecasting and Time Series Analysis - by Andy Pole, Mike West and
Jeff Harrison. Chapman-Hall/CRC, 1994.
-
The Bayesian Choice : From Decision-Theoretic Foundations to Computational
Implementation (2/e) - by Christian Robert. Springer-Verlag, 2007.
- Discretization
and MCMC Convergence Assessment - by Christian Robert.
- Rational Descriptions, Decisions and Designs
- by Myron Tribus.
-
Probabilistic Networks and Expert Systems
- R.G. Cowell, A.P. Dawid, S.L. Lauritzen and D.J. Spiegelhalter.
- Bayesian Theory
- by José M. Bernardo and Adrian F. M. Smith.
- Bayesian Statistics 6
- edited by José M. Bernardo, James O. Berger
A. Philip Dawid and Adrian F. Smith.
- Kendall's Advanced Theory of Statistics: Volume 2B -
by Anthony O'Hagan.
- Bayesian Statistics 3rd Edition - by Peter M. Lee.
- The Practice of Bayesian Analysis - edited by Simon French and
Jim Q. Smith.
- Statistical Inference - by Helio S. Migon and Dani Gamerman.
-
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
by Dani Gamerman.
-
Probability Methods for
Cost Uncertainty Analysis - A Systems Engineering Perspective by
Paul Garvey.
-
Bayesian Statistics: Principles, Models and Applications
by S. James Press.
-
Bayesian reasoning in high energy physics:
Principles and applications by Giulio D'Agostini.
- Bayesian Methods in the Sciences, J. M. Bernardo (ed.) (1999).
Madrid: Real Academia de Ciencias.
- Bayes and Empirical Bayes Methods for
Data Analysis, Second Edition by Bradley Carlin and Thomas A. Louis.
-
Robust Bayesian Analysis edited
by Fabrizio Ruggeri and David Rios Insua.
- Bayesian Inference in Dynamic Econometric Models by Luc Bauwens,
Michel Lubrano and Jean-François Richard. Oxford University Press,
1999.
- Pattern Classification (2nd. ed.) by R. O. Duda, P. E. Hart and D. G.
Stork, Wiley, 2001.
- Operational Subjective Statistical Methods: a mathematical,
philosophical and historical introduction by Frank Lad. John Wiley.
-
Monte Carlo Statistical Methods by Christian Robert and George Casella,
Springer-Verlag, New York, 1999.
- Monte Carlo Methods
in Bayesian Computation by Ming-Hui Chen, Qi-Man Shao, and
Joseph G. Ibrahim, Springer-Verlag, 2000.
- Bayesian Statistical Modelling by Peter
Congdon, Wiley, 2001.
-
Bayesian Survival Analysis by Joseph G. Ibrahim, Ming-Hui Chen,
and Debajyoti Sinha, Springer-Verlag, ISBN 0-387-95277-2, 2001.
- The Subjectivity of Scientists and the Bayesian Approach, by S. James
Press and Judith M. Tanur, 2001, New York: John Wiley & Sons.
- Subjective and Objective Bayesian Statistics: Principles, Models, and
Applications, 2nd Edition, by S. James Press, 2003, New York: John Wiley
& Sons.
- Bayesian Methods: A Social and Behavioral Sciences Approach by Jeff
Gill, 2002, CRC Press.
- Multivariate Bayesian Statistics: Models for Source Separation and
Signal Unmixing by Daniel B. Rowe, 2002, CRC Press.
- Bayesian Modeling and Analysis for Spatial Data by Sudipto Banerjee,
Bradley P. Carlin, and Alan E. Gelfand, 2003, CRC Press
- Measurement Error and Misclassification in Statistics and Epidemiology:
Impacts and Bayesian Adjustments by Paul Gustafson, 2003,
CRC Press.
-
Bayesian Statistics 7
edited by J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid,
D. Heckerman, A, F. Smith and M. West.
-
Bayesian reasoning in data analysis, A critical introduction by Giulio
D'Agostini, World Scientific Publishing, 2003.
-
The Structural Theory of Probability: New Ideas from Computer Science on the
Ancient Problem of Probability Interpretation by Paolo Rocchi, 2003,
Kluwer/Plenum, N.Y.
- Bayesian Analysis of Linear Models,
Vol 60, Textbooks and Monographs by Lyle D. Broemeling,
Marcel-Dekker Inc, New York, New York.
- Econometrics and Structural Change, Volume 74, Textbooks and Monographs,
by Lyle D. Broemeling and Hiroki Tsurumi, Marcel-Dekker, New York.
- Tools for
Constructing Chronologies: Crossing Disciplinary Boundaries by
Caitlin E. Buck and Andrew R. Millard (Eds), Lecture Notes in Statistics,
2003, published by Springer Verlag, London.
- Statistics, Econometrics and Forecasting by
Arnold Zellner, Cambridge University Press, 2004.
- Bayesian Econometrics
by Gary Koop, John Wiley & Sons, 2004.
- An Introduction to Modern Bayesian Econometrics by Tony Lancaster,
Blackwells, 2004.
-
Introduction to Bayesian Statistics by William M. Bolstad,
John Wiley & Sons, NY, April 2004.
- Gaussian Markov Random
Fields: Theory and Applications by Håvard Rue and Leonhard Held,
Chapman & Hall,
2005.
-
Bayesian Models for Categorical Data by Peter Congdon, Wiley 2005.
-
Sequential Monte Carlo Methods in Practice by Arnaud Doucet, Nando de
Freitas and Neil Gordon (ed). Springer Verlag, 2001.
- Uncertain Judgements: Eliciting Expert's Probabilities
by
Anthony O' Hagan and the BEEP team, John Wiley & Sons, NY, 2006.
- Reliability & Risk: A Bayesian Perspective
by Nozer D. Singpurwalla, John Wiley & Sons, NY, 2006.
- Bayes Linear Statistics: Theory and Methods
by Michael Goldstein and David Wooff, John Wiley & Sons, NY, 2006.
- Bayesian Core: A
Practical Approach to Computational Bayesian Analysis by Jean-Michel
Marin and Christian P. Robert, Springer-Verlag, New York, 2007.
- Bayesian Biostatistics and Diagnostic
Medicine by Lyle D. Broemeling, Chapman & Hall/CRC, Boca Raton, FL,
2007.
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