Dottorato in Matematica, Informatica, Statistica, Università degli studi di Firenze

Cosa è importante all’inizio

Diventare socio di una società di Statistica

Spesso è gratis per i dottorandi

Imparare LaTeX

Leggere almeno

The not so short introduction to LaTeX2e

Imparare R e RStudio

Si impara molto da

Leggere (reading the classics)

  • On the mathematical foundations of theoretical statistics R.A. Fisher Philosophical Trans. Royal Statistical Society London (1922)
  • On the problem of the most efficient test of statistical hypotheses J. Neyman & E.S. Pearson Philosophical Trans. Royal Statistical Society London (1933)
  • Testing for serial correlation in least square regression J. Durbin & G.S. Watson Biometrika (1950)
  • Regression models and life-table D.R. Cox J. Royal Statistical Society (1972)
  • Bayes Estimates for the Linear Model D.V. Lindley & A.F.M. Smith J. Royal Statistical Society (1972)
  • Generalized linear models Nelder, J.A. and Wedderburn, R.W. J. Royal Statistical Society (1972)
  • Marginalisation paradoxes in Bayesian and structural inference A.P. Dawid, M. Stone & J. Zidek J. Royal Statistical Society (1973)
  • A new look at the statistical model identification H. Akaike IEEE Transactions on Automatic Control (1974)
  • Maximum likelihood from incomplete data via the EM algorithm A.P. Dempster, N.M. Laird and D.B. Rubin J. Royal Statistical Society (1977)
  • Bootstrap methods: another look at the jacknife B. Efron Annals of Statistics (1979)
  • Estimation of the mean of a multivariate normal distribution C. Stein Annals of Statistics (1981)
  • Monte Carlo sampling methods using Markov chains and their applications, W.K.Hastings Biometrika (1970)
  • Controlling the false discovery rate: a practical and powerful approach to multiple testing. Benjamini, Y. and Hochberg, Y. J. Royal Statistical Society (1995)
  • Regression shrinkage and selection via the lasso R. Tibshirani J. Royal Statistical Society (1996)

Giovanni M. Marchetti 2018.