Statistics 221 - Books


  • Lange K (1999). Numerical Analysis for Statisticians. Springer-Verlag, New York. (Course Text)

  • Efron B and Tibshirani R (1993). An Introduction to the Bootstrap. Chapman and Hall.

  • Gray R (2003). Bio 248: Advanced Statistical Computing - Course Notes. These are the lecture notes for a course offerred by Robert Gray in the Harvard School of Public Health.

  • Gilks WR, Richardson S, and Spiegelhalter DJ (1996). Markov Chain Monte Carlo in Practice. CRC Press.

  • Gelman A, Carlin JB, Stern HS, and Rubin DB (2003). Bayesian Data Analysis, 2nd Edition. CRC Press. Book web site from Gelman's web site.

  • Liu J (2001). Monte Carlo Strategies in Scientific Computing. Springer-Verlag, New York.

  • Ripley BD (1987). Stochastic Simulation. Wiley. Errata (in postscript format) from Ripley's web site.

  • Robert CP and Casella G (1999). Monte Carlo Statistical Methods. Springer-Verlag.

  • Tanner M (1996). Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions, 3rd Edition. Springer-Verlag, New York.

  • Thisted RA (1988). Elements of Statistical Computing: Numerical Computation. CRC Press. Errata from Thisted's home page.

Harvard Statistics
Department of Statistics
Harvard University
Harvard University