Welcome to the Department of Statistics
"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H.G. Wells
Orientation 2019
Received an offer of place for 2019? Find out what you need to do before you arrive, what to expect at your Orientation day and where to go for more support. Read more.
Mission to reveal cosmic ripples
Kiwi scientists have joined a bold mission to measure mysterious cosmic ripples from a trio of orbiting spacecraft. Associate Professor Renate Meyer explains all to the NZ Herald.
Join us for the 2019 Ihaka Lectures
Following on from the success of 2018, this year's theme is 'Rise of the machine learners: Statistical learning in the computational era'. The series will run from 13 March to 3 April. Find out more.
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From a SEED grows mighty teaching ideas
18 October 2018When your introductory statistics course has up to 600 students per lecture, how do you keep them engaged? You use technology in an innovative way, say Professional Teaching Fellows Anna Fergusson and Dr Rhys Jones. -
Using statistics to make sense of our world at the 2018 Mathematical and Computational Sciences Showcase
24 September 2018If you let a pregnant rat loose on pest-free Rangitōtō, how fast might the population grow? This question and more were answered in stimulating talks delivered by Statistics staff. -
Cyberattacks, cybersecurity and protection
21 September 2018Dr Rizwan Asghar talks about the risk of cyberattacks and how New Zealand must find ways to counter this growing threat. Read his Newsroom article. -
Women in science – a celebration of NZ pioneers
19 September 2018Pioneering women scientists who helped pave the way for others are being honoured as part of Women’s Suffrage 125 celebrations by having the University of Auckland’s science departments and schools named after them for one week. -
Angling for the best models
13 September 2018Dr Thomas Yee, a senior lecturer in the Department of Statistics, is a keen fly fisherman, and he has been able to marry his statistical nous with his hobby.
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Ihaka Lecture Series | One | Open source Machine Learning @ Waikato Event as iCalendar
13 March 2019, 6:30pmLaunching our 2019 Ihaka Lecture Series, Professor Bernhard Pfahringer will introduce a number of open-source Machine Learning software suites, reflect on their design decisions and issues, and try to position them in the current international Machine Learning landscape. -
Ihaka Lecture Series | Two | Machine Learning with TensorFlow and R Event as iCalendar
20 March 2019, 6:30pmIn the second lecture of the 2019 Ihaka lecture series, JJ Allaire (CEO of RStudio) will talk about the R interface to TensorFlow, a suite of packages that provide high-level interfaces to both deep learning models (Keras) and standard regression and classification models (Estimators). -
Ihaka Lecture Series | Three | Algorithmic fairness: Examples from predictive models for criminal justice Event as iCalendar
27 March 2019, 6:30pmIn the third of the 2019 Ihaka lecture series, Dr Kristian Lum will demonstrate how – if considerations of fairness and bias are not explicitly accounted for – predictive models could perpetuate and, under some circumstances, amplify undesirable historical biases encoded in the data. -
Ihaka Lecture Series | Four | Statistical learning and sparsity Event as iCalendar
03 April 2019, 6:30pmIn the last of the 2019 Ihaka lecture series, Professor Robert Tibshirani will review the lasso method for high dimensional supervised learning and discuss some new developments in the area. he will also describe some applications of these methods to his own collaborative work.
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Apply now for a 2019 graduate teaching assistant opportunity
03 December 2018The Faculty of Science invites expressions of interest from postgraduate students for Graduate Teaching Assistant (GTA) positions in 2019. -
Seeking an MSc student | for fully funded research
16 November 2018Dr Emma Carroll is seeking a suitable candidate for a masters project looking at functional differences in southern right whale genomes linked to population structure and foraging traditions. A background in genomics/genetics and experience with coding would be ideal. Find out more.
