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Timothy I. Cannings

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Contact:

Department of Data Sciences and Operations,

Marshall School of Business,

Bridge Hall 308,

Trousdale Pkwy,

Los Angeles, CA 90089



cannings@marshall.usc.edu


I am a postdoctoral research associate in the Department of Data Sciences and Operations at the Marshall School of Business, University of Southern California. I completed my PhD with Prof Richard Samworth in the Statistical Laboratory at the University of Cambridge in 2015.


My research area is statistical methodology and theory, in particular classification and clustering problems.


Preprints and Publications


• Cannings, T. I., Berrett, T. B. and Samworth, R. J. (2017) Local nearest neighbour classification with applications to semi-supervised learning. Preprint (.pdf).

• Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble classification. J. Roy. Statist. Soc., Ser. B (with discussion), to appear. (.pdf). The accompanying R package RPEnsemble is available from CRAN.

• Cannings, T. I. (2015) New Approaches to Modern Statistical Classification Problems. PhD thesis (.pdf).

• Cannings, T. I. (2013) Nearest neighbour classification in the tails of a distribution. (.pdf)


Teaching


In Michaelmas 2016 I lectured the Part III Mathematics Topics in Statistical Theory course at the University of Cambridge. More information and course materials can be found here.

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