Venue: The NZSA 2023 Conference will take place at the University of Canterbury 4–6 December, 2023. All sessions will be held in the North Arts Lecture Theatres building.
Welcome Reception: The Welcome Reception will be held on Monday 4th December from 6pm in the Ilam Homestead.
Conference Dinner: The Conference Dinner will be held 1800–2200 on Tuesday 5th December in Ti Kouka, Haere-Roa.
Session Chairs: Session chair will be the last speaker of that session. Speakers should aim to talk for around 15 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.
Schedule
| Time | Monday 4/12 | ||
|---|---|---|---|
| 13:45 | Housekeeping | ||
| 14:00 | Navigating two worlds: Innovations in healthcare monitoring and fisheries modelling Nokuthaba Sibanda Victoria University of Wellington A1 | ||
| 15:00 | Afternoon Tea | ||
| A1 | A2 | A3 | |
| 15:30 | Emergency Department versus cardiology management of low risk chest pain patients. Eleanor Dunn University of Otago | A Bayesian generalized additive mixed model under monotone constraints Lizbeth Naranjo Albarrán Universidad Nacional Autónoma de México | Parallel Queues with Time Delay Angeline Xiao University of Auckland |
| 15:50 | Assessing the Impact of COVID-19 on S&P 500 Industry Volatilities: A Novel Clustering Approach Jorge Caiado University of Lisbon | When are we going to die? A Bayesian latent variable approach to modelling Australian mortality data from January 2015 John Holmes University of Canterbury | Pairwise Differences Covariance (PDC) Estimation in Principal Component Analysis when n < p Nuwan Weeraratne University of Waikato |
| 16:10 | Finding cycles in Covid-19 time series of daily counts Miaotian Li University of Auckland | Particle-based Variational Bayes: Towards Scalable and Accurate Bayesian Computation Minh-Ngoc Tran The University of Sydney | Partial Ordered Stereotype Model Development of a New Model Laia Egea Cortés Victoria University of Wellington |
| 16:30 | Background rates of 13 adverse events of special interest before and during COVID-19 pandemic: a multinational Global Vaccine Data Network analysis in New Zealand and other countries Han Lu University of Auckland | Regularised maximum likelihood estimation for the random coefficients model Fabian Dunker University of Canterbury | Adapting the Linear Probability Model to GLMMs Peter Green AgResearch |
| 16:50 | Results from the 10-year traumatic brain injury study Priya Parmar University of Auckland | Diffusive Nested Sampling in Action Brendon Brewer University of Auckland | The Curious Case of CAR Correlations Tilman Davies University of Otago |
| 18:00 | Welcome Reception | ||
| Time | Tuesday 5/12 | ||
|---|---|---|---|
| 9:25 | Housekeeping | ||
| 9:30 | Bayesian free-knot splines Matt Edwards University of Auckland A1 | ||
| 10:30 | Morning Tea | ||
| A1 | A2 | A3 | |
| 11:10 | Using Convolutional Autoencoders for Signal Detection of Extreme Mass Ratio Inspirals Detected by the LISA Mission Amin Boumerdassi University of Auckland | Improving admin address assignment using a machine learning model Katie Simpson Stats NZ | Quantiles on global non-positive curvature spaces Ha-Young Shin Seoul National University |
| 11:30 | Inferring the kinematics of Globular Cluster Populations for NGC 1052-DF2 and NGC 1052-DF4 Galaxies Cher Li University of Auckland | Prediction of usual residence and its use for admin enumerations in the 2023 Census Stephen Merry Stats NZ | Data requirements and challenges of observational urban data for the causal analysis Pooja Baburaj University of Canterbury |
| 11:50 | Generative Models for Core-Collapse Supernovae Tarin Eccleston University of Auckland | SDMX Standards and working with SDMX through data publishing tools Sam Cleland Stats NZ | Deep Mixture Models for Understanding Latent Space Representations and Clustering Tasks Mashfiqul Huq Chowdhury Victoria University of Wellington |
| 12:10 | Prevalence estimation from sparse data when the outcome and covariates are sometimes missing Patrick Graham Stats NZ | The geometry of diet: using projections to quantify the similarity between sets of dietary patterns Beatrix Jones University of Auckland | |
| 12:30 | Lunch | ||
| A1 | A2 | A3 | |
| 13:20 | Statistical Imputation using CANCEIS for filling gaps in Census 2023 records Andre Macleod Hungar Stats NZ | Respiratory Health of Pacific Youth: Nutrition Resilience and Risk in Childhood Siwei Zhai University of Auckland | Revealing and characterising anomalous spatio-temporal patterns in Hikurangi Subduction Zone seismicity Jessica Allen University of Otago |
| 13:40 | Bayesian small domain estimation of the New Zealand population from administrative data Andrew Martin Stats NZ | Trends in Statistical Methods in Medical Studies (2000–2023) Deborah Kakis University of Auckland | Test of clustering for Neyman-Scott processes Bethany Macdonald University of Otago |
| 14:00 | Collaboration with Iwi Māori on no response mitigations for the 2023 Census Florian Flueggen and Pip Bennett Stats NZ | Measuring indigenous outcomes and inequity – is a different approach to age-standardisation needed? Tori Diamond University of Auckland | Estimating Human Mobility - Computing Commute Graph Across Aotearoa Simon Urbanek University of Auckland |
| 14:20 | Understanding quality change in price indexes Frances Krsinich Stats NZ | Estimating genotype by environment interactions using genomic data: An application to smallholder dairy farms in India Roy Costilla AgResearch | Using Linear Assignments in Spatial Sampling Blair Robertson University of Canterbury |
| 14:40 | Modelling the spatial distribution of fertilizer spreading David Baird VSN NZ | Shrinkage estimators of the spatial relative risk function Martin Hazelton University of Otago | |
| 15:00 | Afternoon Tea | ||
| 15:30 | AGM A1 | ||
| 18:00 | Conference Dinner | ||
| Time | Wednesday 6/12 | ||
|---|---|---|---|
| 9:25 | Housekeeping | ||
| 9:30 | Variance estimation for network meta-analysis Hans-Peter Piepho Universität Hohenheim A1 | ||
| 10:30 | Morning Tea | ||
| A1 | A2 | A3 | |
| 11:10 | Addressing falling response rates in social surveys Matthew Hendtlass Stats NZ | From LAD (least absolute deviation) to DL (dictionary learning) Ciprian Doru Giurcaneanu University of Auckland | Analysis of well-being and ill-being on campus Ivy Liu Victoria University of Wellington |
| 11:30 | Introduction to the International Visitor Survey Scott Guo Stats NZ | Building 'Disclosure Risk Calculator': A Case Study in R and TypeScript Integration Tom Elliott iNZight Analytics | The Markov Chains Tool - an interactive tool Heti Afimeimounga University of Auckland |
| 11:50 | How does the quality of a survey frame affect achieve survey response targets? Fareeda Begum Stats NZ | Estimating contaminant loads from high frequency - how useful is the extra data? Alasdair Noble AgResearch | Forecasting New Zealand electricity price using regime-switching and extreme value theory models Nuttanan Wichitaksorn Auckland University of Technology |
| 12:15 | Conference End / Lunch | ||