Generalised Linear Models
Supervisor: Peter Dunn
Description: This course presents a detailed study of the background theory of generalized linear models (glms), combined with extensive practical analysis of data. Particular models such as Poisson, binomial and gamma glms will be introduced, together with diagnostic analysis, advanced topics and using the program R for analysis.
Prerequisites: Knowledge and experience in regression models, distribution theory and statistical inference.
Main text: TBA
Some potential study topics
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| Math history Patricia Cretchley | Gen Lin Models Peter Dunn | Bayesian stats Paul Fahey | Survey sampling Ashley Plank |
| Maths Methods Tony Roberts | Quantum Computing Tony Roberts | Water waves Tony Roberts | Games theory Tony Roberts |
| Parallel numerics Tony Roberts | Hydro stability Sergey Suslov | Math Biology Sergey Suslov | Banach spaces Oleksiy Yevdokimov |
| Fundamental Maths Education Oleksiy Yevdokimov | Number history Oleksiy Yevdokimov |