Statistical Computing in the Data Age- 2017 Ihaka Lectures

Faculty of Science, University of Auckland

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

Statistical Computing in the Data Age- 2017 Ihaka Lectures

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Statistical Computing in the Data Age- 2017 Ihaka Lectures

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