Monte Carlo Sampling
Monte Carlo sampling—that is, random sampling on a computer—has become an important methodology in modern statistics. By simulating random variables from specified statistical models and probability distributions one can often estimate certain statistical quantities that may otherwise be difficult to obtain.
- Feller, W. 1970. An Introduction to Probability Theory and Its Applications, volume I. John Wiley & Sons, New York, second edition.Google Scholar
- Koop, G., D. J. Poirier, J. L., & Tobias 2007. Bayesian Econometric Methods. Cambridge University Press.Google Scholar
- McLachlan, G. J., & T. Krishnan 2008. The EM Algorithm and Extensions. John Wiley & Sons, Hoboken, NJ, second edition.Google Scholar