**F**ollowing an earlier post and poll. six of my graduate students took the Reading Classics seminar this year (plus two who dropped out). They chose

- W.K.Hastings (1970) Monte Carlo sampling methods using Markov chains and their applications, Biometrika
- G. Casella & W. Strawderman (1981) Estimation of a bounded mean Annals of Statistics
- A.P. Dawid, M. Stone & J. Zidek (1973) Marginalisation paradoxes in Bayesian and structural inference J. Royal Statistical Society
- C. Stein (1981) Estimation of the mean of a multivariate normal distribution Annals of Statistics
- D.V. Lindley & A.F.M. Smith (1972) Bayes Estimates for the Linear Model J. Royal Statistical Society
- A. Birnbaum (1962) On the Foundations of Statistical Inference J. American Statistical Assoc.

in this order and mostly managed to grasp the quintessentials of the papers and to give decent (Beamer) presentations. The hardest one was the exposition of the likelihood principle and the student who chose this paper struggled to go past a mere repetition of the proofs. I enjoyed it nonetheless because the presentation raised questions about this principle,