Aims/Description: This unit is largely concerned with practical statistical inference. Modern computational tools for the implementation of the frequentist and likelihood-based approaches to inference are explored, with strong emphasis placed in the use of simulation and Monte Carlo methods. Statistical theory is also developed with an introduction to the Bayesian approach to inference and decison making. Computational methods for practical Bayesian inference will also be covered.

Staff Contact: OAKLEY JEREMY E
Teaching Methods: Lectures, Independent Study,
Assessment: Formal Exam, Project/ portfolio

Information on the department responsible for this unit (Mathematics and Statistics):

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Teaching timetable


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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK