A Bayesian Reading List
- Box, G.E.P. and Tiao, G.C. (1973).
Bayesian Inference in Statistical Analysis.
Reading: Addison-Wesley.
- Press, S.J. (1989).
Bayesian Statistics. Principles, Models and Applications.
New York: Wiley.
- Berry, D.A. (1996).
Statistics: A Bayesian Perspective.
Duxbury Press: Belmont.
- Sivia, D.S. (1996).
Data Analysis: A Bayesian Tutorial.
Clarendon Press: Oxford.
- Migon, H.S. and Gamerman, D. (1999).
Statistical Inference: an Integrated Approach.
London: Arnold.
- Bernardo, J.M. and Smith, A.F.M. (1994).
Bayesian Theory.
Chichester: Wiley.
- O'Hagan, A. (1994).
Kendall's Advanced Theory of Statistics, Vol. 2b: Bayesian Inference.
Cambridge: Edward Arnold.
- Leonard, T. and Hsu, J.S.J. (1999).
Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers.
Cambridge: Cambrige University Press.
- Robert, C.P. (2007).
The Bayesian Choice. (2nd ed.)
New York: Springer.
- Gelman, A., Carlin, J.B., Stern, H.S. and Rubin, D.B. (1995).
Bayesian Data Analysis.
London: Chapman & Hall.
- Congdon, P. (2003).
Applied Bayesian Modelling
Chichester: Wiley.
- Congdon, P. (2006).
Bayesian Statistical Modelling. (2nd ed.)
Chichester: Wiley.
- Congdon, P. (2005).
Bayesian Models for Categorical Data.
Chichester: Wiley.
- Gamerman, D. and Lopes H.F. (2006).
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference.
London: Chapman & Hall.
- Gilks, W.R., Richardson, S. and Spiegelhalter, D.J. (1996).
Markov Chain Monte Carlo in Practice.
London: Chapman & Hall.
- Robert, C.P. and Casella, G. (2004).
Monte Carlo Statistical Methods. (2nd ed.)
New York: Springer.
- Marin J.M. and Robert, C.P. (2007).
Bayesian Core.
New York: Springer.