- Tuesday 1-3pm (Room 1.07 Lloyd Building)
- Thursday 4-5pm (Room 1.07 Lloyd Building)
ST3452 is a 5 ECTS module which corresponds to about 100+ hours of study time (including the 30+ hours of lectures organised on campus). For your independent personal work in ST3452, you are asked to learn to use the software R. Other sources of information are available to help you (e.g. online ressources such as webpages, videos, MOOCs, and books in TCD libraries). Be creative and independent to build up your skills!
Playing with data is an important part of Statistics modules. Help is given on this webpage for using R.
It is advised to come to class and take notes: only short notes will be given online.
- Exam (100%)
There are a lot of books on Generalised Linear Models in the Library that are relevant to the course. Below the first book is given as an example reference. It is available in the library.
- An Introduction to Generalized Linear Models, A. J. Dobson & A. G. Barnett, 3rd edition
- Biostatistical Design and Analysis Using R - A Practical Guide, M. Logan, 2010 (Chp 17)
- Generalized Linear Models for Insurance Data, P. de Jong and G. Z. Heller, 2008
- In All Likelihood: Statistical Modelling and Inference Using Likelihood, Y. Pawitan, 2001
- Generalized Linear Models with Applications in Engineering and Sciences, R. Myers et al., 2010
- Introduction to GLM, 19/01/2016
- Likelihood and GLM, 21/01/2016
- Binomial distribution: logistic regression, 26/01/2016
- Bernouilli distribution, 28/01/2016
- Poisson distribution, 02/02/2016
Saturated model and on using prior information, 04/02/2016
- Reading: chapter on Bayesian Analysis (chp 12, 3rd Edition of Dobson book)
Deviance and its sampling distribution 09/02/2016
- Chi Square table or using R: function qchisq()
- Chi square distribution, 11/02/2016
- Explanatory variables, 16/02/2016
- No lecture, 18/02/2016
- Survival Analysis, 23/02/2016
- Survival Analysis, 25/02/2016
- Reading week
- Multinomial distribution and Nominal logistic regression, 08/03/2016
- Odd Ratios, 10/03/2016
- Nominal logistic regression: Exercise. 15/03/2016
- Bank Holiday, 17/03/2016
- Inference: Newton Raphson and Scoring method, 22/03/2016
- Exercises, 24/03/2016
Conclusion and Exam revisions, 29/03/2016
- Parametric Statistical Modeling by Minimum Integrated Square Error (D. Scott): alternative to parameter estimation with L2E instead of likelihood function - Linear regression (section 6).
- some short notes for the course.
- Exam revisions, 31/03/2016
- Student's questions (Room 128 Lloyd building), 05/04/2016
- No lecture, 07/04/2016