MSc students There
are two non-assessed practicals for MSc students in week 3 and week 6,
and one week-long assessed practical in week 1 TT. The student
submission deadline for this assessed practical is Monday 10:00 TT week 2.
Undergraduate students Please
hand in the solutions to the problem sheets by Tuesday 12:00
class, at the
department of statistics, 24-29 Saint-Giles', and send the R code by
email, in a single well-commented R-script to Giuseppe Di Benedetto
<firstname.lastname@example.org> (Thursday 9:00 or 14:30 class)
or Fadhel Ayed <email@example.com> (Thursday 17:00
class). Class allocation details are on Minerva (accessible from Oxford University network).
class for undergraduate students: May 17, 2pm LG01. We will cover the
above specimen questions on HMM + 2015 past paper Q5(a)(i-iii), (iv)
first sentence + 2016 past paper Q5(a). Consultation for undergraduate students: May 24, 2-3pm, LG01.
L. Wasserman. All of Statistics. A concise course in Statistical Inference. Chapter 8. Sptringer, 2010. L. Wasserman. All of Nonparametric Statistics, Springer, 2005. B. Efron, R.J. Tibshirani. An Introduction to the Bootstrap. Chapman and Hall, 1993. B. Efron. Bootstrap methods: Another Look at the Jackknife. Annals of Statistics, Vol. 7(1), pp. 1-26, 1979. [pdf] K.P. Murphy. Machine Learning. A probabilistic perspective. Chapters 17 and 18. The MIT Press, 2012. D. Barber. Bayesian reasoning and machine learning. Cambridge University Press, 2012.