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Statistical Computing in the Data Age- 2017 Ihaka Lectures

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MLT1 Lecture Theatre, Ground Floor, Building 303

University of Auckland

38 Princes Street

Auckland, Auckland 1010

New Zealand

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Statistical Computing in the Data Age 8-29 March 2017
Statistics has become essential in the data age. We have increasing ability to collect vast quantities of data, but often still struggle to make sense of it. The Ihaka lectures aim to highlight the important role that both statistics and computing play in this endeavour.

The Ihaka Lecture Series is named after Ross Ihaka (Associate Professor at the University of Auckland).
Ross, along with Robert Gentleman, co-created R – a statistical programming language now used by the
majority of the world’s practicing statisticians.
There are four lectures in the series on 8th,15th, 22nd and 29th March - lectures commence at 6.30pm. Refreshments are served from 6.00pm in the foyer of adjacent building 302.

8 March

Expressing yourself with R- Hadley Wickham, Chief Scientist, RStudio, Associate Professor, Department of Statistics, University of Auckland

15 March

R and data journalism in New Zealand - Harkanwal Singh, Data Editor, New Zealand Herald

22 March

Interactive visualisation and fast computation of the solution path for convex clustering and biclustering- Dr Genevera Allen, Dobelman Family Junior Chair, Departments of Statistics and Electrical and Computer Engineering, Rice University

29 March

Statistical computing in a (more) static environment - Associate Professor Ross Ihaka, Department of Statistics, University of Auckland



Location

MLT1 Lecture Theatre, Ground Floor, Building 303

University of Auckland

38 Princes Street

Auckland, Auckland 1010

New Zealand

View Map

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