Monte Carlo and Bayesian statistics

Human and Ecological Risk Assessment (HERA)

Volumn 2, Issue 4, 1996, Pages 666-670

  Lavine, Michael ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

Bayesian statistics; Monte Carlo

Indexed keywords

EID: 26444530164     PISSN: 10807039     EISSN: None     Source Type: Journal    
DOI: 10.1080/10807039609383646     Document Type: Article

References (5)

1. Besag, J., Green, P., Higdon, D., and Mengerson, K. 1995. Bayesian computation and stochastic systems. Statistical Science, 10, 3-66.
2. Casella, G. and George, E.I. 1992. Explaining the Gibbs sampler. The American Statistician, 46, 167-174.
3. Gelfand, A.E. and Smith, A.F.M. 1990. Sampling based approaches to calculating marginal densities. Journal of the American Statistical Association, 85, 398-409.
4. Gentle, J.E. 1985. Monte Carlo methods. In: Encyclopedia of Statistical Sciences, Volume 5, pp. 612-617. (Kotz, S. and Johnson, N.L., Eds.) New York, John Wiley & Sons.
5. O'Hagan, A. 1992. Some Bayesian Numerical Analysis. In: Bayesian Statistics, Volume 4, pp. 345-363. (Bernardo, J.M., Berger, J.O., Dawid, A.P., and Smith, A.F.M., Eds.). New York, Oxford University Press.