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:
- It should be a question not a statement.
- It should be about the talk and not about you.
- It should be short.
- If you really think the speaker is wrong, then it might be better to talk to them when they are off-stage.
- To please be respectful.
- And finally, that James hates most questions, so think before you ask :-)
Schedule
| Time | Tuesday 22/11 | ||
|---|---|---|---|
| 0855 | Housekeeping | ||
| 0900 | Modelling spatiotemporal point patterns: a new era of point process models Charlotte Jones-Todd Auckland MLT2/303-102 | ||
| 0930 | Fishy Business Russell Millar Auckland MLT2/303-102 | ||
| 1000 | Morning Tea | ||
| MLT2/303-102 | MLT3/303-103 | 303-153 | |
| 1030 | Dispersal 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 |
| 1050 | Triangulating New Zealand Teachers 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 |
| 1110 | Spatiotemporal 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 |
| MLT2/303-102 | MLT3/303-103 | 303-153 | |
| 1130 | Branching 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 Tom Elliott Victoria University of Wellington |
| 1150 | The number of alleles in DNA mixtures Maarten Kruijver ESR | 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 |
| 1210 | Lunch with AGM (1 hour 30 minutes) AGM 1230-1330 in MLT2/303-102 or by Zoom | ||
| 1340 | Bayesian Foundations of Multimodel Inference Richard Barker Otago MLT2/303-102 | ||
| MLT2/303-102 | MLT3/303-103 | 303-153 | |
| 1430 | Scalar bandwidth selectors for spatial point patterns Bethany Macdonald University of Otago | Weighted estimation of linear mixed models under two-phase sampling for k Pei Luo University of Auckland | Constructive Solid Geometry in R Paul Murrell The University of Auckland |
| 1450 | Interactive 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 VUW IGPS |
| 1510 | Distributed 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 |
| 1530 | Afternoon tea (20 minutes) | ||
| MLT2/303-102 | MLT3/303-103 | 303-153 | |
| 1550 | Estimating 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 |
| 1610 | Case 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 |
| 1630 | Seasonal Adjustment and Trend Estimates Under COVID: How Will We Identify a 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 |
| 1650 | Incorporating 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 |
| 1800 | Conference Dinner Venue: Old Government House | ||
| Time | Wednesday 23/11 | ||
|---|---|---|---|
| 0855 | Housekeeping | ||
| 0900 | Using Gumbel Distribution to Promote Equity in Sports Elena Moltchanova Canterbury MLT2/303-102 | ||
| 950 | Morning Tea | ||
| MLT2/303-102 | MLT3/303-103 | PLT2/303-G02 | |
| 1010 | How I learned to stop worrying and love the Linear Probabilty Model Peter Green AgResearch | Using the Markov tool in STATS 125 Stephanie Budgett University of Auckland | Charting missingness and diversions in graph theory Jonathan Marshall Massey University |
| 1030 | Parameter 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 |
| 1050 | Development of a Māori specific screening tool for Dementia (Mate wareware) Nick Garrett AUT | 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 |
| MLT2/303-102 | MLT3/303-103 | PLT2/303-G02 | |
| 1120 | Handling 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 | TBA Esther Meenken AgResearch Room: 303-153 |
| 1150 | Nearest-neighbour Gaussian processes Tilman Davies Otago | 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 |
| 1210 | A 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 |
| 1230 | Lunch (1 hour and 10 minutes) 1300 -1400 IBS-AR AGM MLT2/303-102 or by Zoom | ||
| 1400 | Conference Finish | ||