References

Ross S.M. (2006)
A first course in probability.
PrenticeHall, 7th ed.
Italian translation:
Ross S.M. (2007)
Probabilità e Statistica per l'ingegneria e le scienze.
Apogeo, seconda edizione.
 Mauro Gasparini (2006). Modelli probabilistici e statistici. CLUT. Chapter 2.

Ross S.M. (2002)
Simulation.
Academic Press. In the DIMAT library.

Casella G. and George E.I. (1992).
Explaining the Gibbs Sampler. The American Statistician, 46, 167174.

Chib S. and Greenberg E. (1995). Understanding the
MetropolisHastings algorithm. The American Statistician, 49,4, 327335.

Bayesian Statistics on Scholarpedia.

Gelman A., Carlin J.B., Stern H.S. and Rubin D.B. (2004).
Bayesian Data Analysis. Chapman and Hall. In the DISPEA library.

Gilks W.R., Richardson S. and Spiegelhalter D.J., eds., (1996).
Markov Chain Monte Carlo in practice. Chapman and Hall.
 WinBUGS Examples:
Volume 1,
Volume 2,
Volume 3.

Lunn D., Spiegelhalter D., Thomas A. and Best N. (2009).
The BUGS project: Evolution, critique and future directions.
Statistics in Medicine, 28, 30493067.

Kschischang F.R., Frey B.J. and Loeliger H.A. (2001).
Factor graphs and the sumproduct algorithm.
IEEE Transactions on information theory, 47, 498519.

Cowell, R.G., Dawid A.P., Lauritzen S.L. and Spiegelhalter, D.J. (1999).
Probabilistic networks and expert systems. Springer.
The original edition is in the DIMAT library.
A paperback edition was published in 2007.

Introduction to inference in Bayesian networks by R. Cowell.
In Jordan M. (ed.) (1998). Learning in graphical models. The MIT press.

Advanced inference in Bayesian networks by R. Cowell.
In Jordan M. (ed.) (1998). Learning in graphical models. The MIT press.

HUGIN
