Venue: The UnConference will take place at the University of Auckland 22–23 November, 2022. All sessions will be held in the Maths and Physics Building (Building 303), which is located at 38 Princes Street. Rooms MLT2 and MLT3 are on the first floor, and SLT1 is on the ground floor. There is considerable construction going on around the campus, but the main doors on Princes Street will always be accessable. This entry is at the basement level.

Reception: There is no formal reception, but some of us will gather at the Vultures' Lane in the CBD (map here) around 1800 on Monday evening.

Conference Dinner: The conference dinner will be held in Old Government House 1800–2200 on Tuesday the 22nd of November, 2022. As per last time, this is an informal event with no fixed place settings, but there are tables and chairs when you can sit and eat and talk. Important: The theme—yes there is a theme—will be Terrifically Terrible Tartan with all things tartan accepted, ideally as outrageous and hideous as possible. There may be a prize...The theme is optional.

Session Chairs: Session chairs for the keynote talks have been arranged. In all other sessions, the session chair will be the last speaker of that session. Speakers should aim to talk for 15-17 minutes, and allow for a couple of questions at most. Please try and stick to the times so that people can move between rooms easily.

Questions: Remember that if you have a question for a speaker:

  1. It should be a question not a statement.
  2. It should be about the talk and not about you.
  3. It should be short.
  4. If you really think the speaker is wrong, then it might be better to talk to them when they are off-stage.
  5. To please be respectful.
  6. And finally, that James hates most questions, so think before you ask :-)


TimeTuesday 22/11
0900Modelling spatiotemporal point patterns: a new era of point process models
Charlotte Jones-Todd
0930Fishy Business
Russell Millar
1000Morning Tea
1030Dispersal of algae in the Marlborough Sounds
Richard Arnold
Victoria University of Wellington
Saddlepoint approximations for likelihoods
Jesse Goodman
University of Auckland
Risk factors for endometrial cancer and endometrial intraepithelial neoplasia in premenopausal women with abnormal uterine bleeding and a model for clinical assessment: A cohort study
Jason Li
University of Auckland
1050Triangulating New Zealand Teachers Concept Knowledge Flexibility
Amy Renelle
University of Auckland
Experiences from COVID-19 modelling for Te Manawa Taki
Han Gan
University of Waikato
Challenges of assessing statistical reasoning at scale
Emma Lehrke
University of Auckland
1110Spatiotemporal variations in low frequency earthquake recurrence along the San Andreas Fault
Jessica Allen
University of Otago
Data Science: A Practitioner and Educator's Perspective
Lisa Chen
University of Auckland
An evaluation of transfer learning approaches to matrix factorization
David Hirst
Aix-Marseille Université
1130Branching with detection
Zehua Zang
University of Auckland
Exploring Inductive Linearization for simulation and estimation with an application to the Michaelis-Menten model
Sepi Sharif
University of Otago
Introducing IDI Search and Disclosure Risk Calculator: ReactJS web apps powered by R
Tom Elliott
Victoria University of Wellington
1150The number of alleles in DNA mixtures
Maarten Kruijver
The weighting of questions in psychometric measurement
Robin Willink
University of Otago Wellington and Measurement Standards Laboratory of New Zealand
New Data and Statistics Act 2022
Beverley Braybrook and John Upfold
Stats NZ
1210Lunch with AGM (1 hour 30 minutes)
AGM 1230-1330 in MLT2/303-102 or by
1340Bayesian Foundations of Multimodel Inference
Richard Barker
1430Scalar bandwidth selectors for spatial point patterns
Bethany Macdonald
University of Otago
Weighted estimation of linear mixed models under two-phase sampling for kkp genomics data
Pei Luo
University of Auckland
Constructive Solid Geometry in R
Paul Murrell
The University of Auckland
1450Interactive Data Visualization with Plotscape
Adam Bartonicek
University of Auckland
Lost in the forest
Helen Smith
Massey University
Inside every statistician hides an amateur anthropologist or historian
Len Cook
1510Distributed Modelling with Large Scale R
Jason Cairns
University of Auckland
When bias hurts - a tale of nonparametric testing
Martin Hazelton
University of Otago
Mixed Proportional Hazard Model for Complex Samples
Bradley Drayton
University of Auckland
1530Afternoon tea (20 minutes)
1550Estimating abundance with capture-recapture: the importance of model, estimator, and prior choice
Matthew Schofield
University of Otago
Spatially smooth mixtures for modelling of muscle fibres
Anna Redmond
University of Otago
Acoustic spatial capture-recapture animal density estimates
David Chan
University of Auckland
1610Case Study Statistics Videos with R analyses of their lessons based on actual data collected by researchers.
John Harraway
University of Otago
Weathering the storm: Space weather forecasting using Hidden Markov models
Lara Najim
University of Otago
Ensembles within ensembles within ensembles: Scalable gene regulatory network reconstruction using automated machine learning
James Bristow
Massey University
1630Seasonal Adjustment and Trend Estimates Under COVID: How Will We Identify a New Normal When It Occurs
Richard Penny
Stats NZ
Eliciting Informative Prior Distributions from Expert Decision Making
Julia Falconer
University of Waikato
The approximation for the conditional maximum likelihood
Yi Xue
University of Auckland
1650Incorporating online courses into statistics training at DOC - and beyond
Ian Westbrooke
Department of Conservation
Collaborative Data Analysis, Visualisation and Data Sharing
Simon Urbanek
University of Auckland
Harmonising ethnicity from multiple administrative data sources using latent class models
Christine Bycroft
Stats NZ
1800Conference Dinner Venue: Old Government House
TimeWednesday 23/11
0900Using Gumbel Distribution to Promote Equity in Sports
Elena Moltchanova
950Morning Tea
1010How I learned to stop worrying and love the Linear Probabilty Model
Peter Green
Using the Markov tool in STATS 125
Stephanie Budgett
University of Auckland
Charting missingness and diversions in graph theory
Jonathan Marshall
Massey University
1030Parameter and State Estimation in Queues
Azam Asanjarani
University of Auckland
exploRations with online tools for introducing R to statistics students
Anna Fergusson
University of Auckland
Pairwise survey weighting in GEE
Claudia Rivera Rodriguez
University of Auckland
1050Development of a Māori specific screening tool for Dementia (Mate wareware)
Nick Garrett
A framework for capturing the development of statistical concepts
Anne Patel
University of Auckland
The geometry of diet: examining concordance between dietary patterns
Beatrix Jones
University of Auckland
Room: 303-153
1120Handling multiple-response data in R
Thomas Lumley
University of Auckland
Recovering traffic counts from bluetooth data using Poisson regression with time-varying coefficients
Xun Xiao
University of Otago
Esther Meenken
Room: 303-153
1150Nearest-neighbour Gaussian processes
Tilman Davies
Genome-wide association study for milk traits in New Zealand dairy sheep
Roy Costilla
AgResearch, Ruakura Research Centre
Time 1200
The experimental Administrative Population Census: a census, but not quite as you know it
Hannes Diener
Stats NZ
1210A Shiny App for Data Integration
Dongwen Luo
AgResearch NZ Ltd
Accounting for transient individuals in open-population capture-recapture models that estimate wildlife population size
Ben Stevenson
University of Auckland
Time 1220
Consolidating production processes for price indexes from big data with MAP
Frances Krsinich
Stats NZ
1230Lunch (1 hour and 10 minutes)
1300 -1400 IBS-AR AGM
MLT2/303-102 or by Zoom
1400Conference Finish