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Unit information: Theory of Inference 34 in 2015/16

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Unit name Theory of Inference 34
Unit code MATHM0022
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 2D (weeks 19 - 24)
Unit director Professor. Jonty Rougier
Open unit status Not open

MATH11300, MATH11400



School/department School of Mathematics
Faculty Faculty of Science

Description including Unit Aims

Statistical inference is the science concerned with drawing inferences on the basis of uncertain data. In contrast to numerical or graphical descriptive techniques, which have the relatively simple aim of summarising the data actually observed, in inference we intend to draw conclusions about the populations from which the data are drawn. In doing so, almost universally, a probabilistic model is built for the mechanism generating the data, and the specific objects of inference are the unknowns (parameters) appearing in such models. There are several approaches to doing this, and we shall cover the main features of the two most important of these: (a) classical (or frequentist) inference and (b) Bayesian inference.

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Intended Learning Outcomes

To gain an understanding of some key principles of statistical inference, and how these impact upon current practice across a range of fields.

Teaching Information

Lectures, problems classes, homeworks to be done by students, Office Hours

Assessment Information

80% 1½-hour written examination

20% coursework

Reading and References

Please refer to the unit description on the School of Mathematics website