Below is the list of slides and posters from presenters with permission.
Keynote
Invited
- Shonosuke Sugasawa “Bayesian clustered ensemble prediction for multivariate time series”
- Louise McMillan “The difficulties of clustering categorical or mixed data”
- Skipton N.C. Woolley “Species archetype models for presence-only data”
- Raphael Trouve “Optimal sampling in border biosecurity: Application to skip-lot sampling”
- Shuwen Hu “Predication of Daily Weight Gain with Cattle Behaviour and Daily Activity Using Triaxial Accelerometer Data”
- Elle Saber “Fishing for Heritability in the Gill Microbiome: Why Statisticians Should get out into the field”
Contributed
- Martin Huang “Data-Adaptive Automatic Threshold Calibration for Stability Selection”
- Rajan Shankar “Variable Selection in a Joint Model for Huntington’s Disease Data”
- Yidi Deng “StableMate: a regression framework for selecting stable predictors across heterogeneous data environments”
- Sarah Croft “Estimating abundance in small populations using pedigree reconstruction”
- Sean Martin “Accounting for heterogeneous detection rates when inferring eradication of an invasive species”
- Alec van Helsdingen “Extending Spatial Capture-Recapture with the Hawkes Process”
- Garth Tarr “Outlier-robust estimation of state-space models using a penalised approach”
- Scott Foster “Koala Distribution and Abundance”
- Sam Rogers “Speed: An R package for Spatially Efficient Experimental Designs”
- Patrick Li “Running Human Subject Experiments via Online Crowdsourcing”
- Xu Ning “Teaching Meta-Analysis for Systematic Reviewers with Mixed Statistical Training”
- Alice Richardson “Tales from the jungle: a personal perspective of statistical consulting since COVID”
- Sharon Nielsen “Better Conversations, Better Support: Strengthening Consulting through Practical Education and Community”
- Sandra Tanz “Integrating Spatial Data and On-Farm Experimentation to Understand Wheat Variety Performance Across Western Australia”
- Michael Mumford “Multi-environment trial analysis of count data with complex variance structures using generalised linear mixed models”
- Arjun Sekhar “Enhancing Fraud Detection in Banking through Random Survival Forests: Addressing Data Imbalance and Model Transparency”
- Colleen Hunt “Using point cloud data to discover genomic regions associated with dynamic height”
- Tong Chen “Automatic debiased machine learning (autoDML) for causal inference: implementation and evaluation in real-world observational studies”
- Francis KC Hui “Scalable finite mixture of regression models for clustering species responses in ecology”
- Clayton Forknall “Using a linear mixed model based wavelet transform to model non-smooth trends arising from designed experiments”
- Braden Thorne “Functional Data Analysis for the Australian Grains Industry”
- Zhanglong Cao “Bayesian Ordinal Regression for Crop Development and Disease Assessment”
- David Warton “Estimating extinction time from the fossil record using regression inversion”
- Paul Kabaila “The performance of Yu and Hoff’s confidence intervals for treatment means in a one-way layout”
- Michael Stewart “Rate-optimal sparse gamma scale mixture detection”
- Kentarou Wada “Extension of the corrected score estimator in a Poisson regression model with a measurement error”
- P. G. Jayani Lakshika “Visualize your fitted non-linear dimension reduction model in the high-dimensional data space”
- Beatrix Jones “The geometry of diet: using projections to quantify the similarity between sets of dietary patterns”
- Alysha De Livera “Multivariate meta-analysis methods for high-dimensional data”
- Oyelola Adegboye “Handling Missingness in Prevalence Estimates from National Surveys”
- Chris Bilder “Pooled testing with penalized regression models”
- Zhining Wang “Simultaneous Inference for Latent Variable Predictions in Factor Analytic Models”
- Shaoqian Huang “Model-based assessment of functional and phylogenetic diversity”
- Elliot Dovers “Fitting integrated species distribution models using mgcv”
- Thomas Lumley “Crossvalidation for predictive models in complex survey data”
- Nelson Chua “A Set of Precise Asymptotics for Gaussian Variational Approximation in Generalised Linear Mixed Models”
- Piumi Perera “A circular hidden Markov model for directional time series data”
- Vanessa Cave “Do Mice Matter? The Impact of Mice on a New Zealand Ecosanctuary”
- Graham Hepworth “Modelling Species Diversity from Citizen-Science Bird Counts”
- Owen Forbes “Continental-Scale Bayesian Analysis of Acacia Flowering Phenology: A Novel Framework Integrating Phylogenetic Signal and Circular Statistics”
- Sam Mason “Spatio-Temporal Species Distribution Modelling”
- Coralie C. Williams “The equalto covariance structure for meta-analysis using the
glmmTMBR package” - Zhi Yang Tho “A Proportional Random Effect Block Bootstrap for Highly Unbalanced Clustered Data”
- Alain C. Vandal “Extending diagnostic validity meta-analysis to several diagnostic guidelines”
- Eve Slavich “A missing data detective story – how I navigated through a perfect storm of drop-out’s, COVID and informative missingness.”
- Siwei Zhai “Childhood Risk and Resilience Factors for Pasifika Youth Respiratory Health: Accounting for Attrition and Missingness”
- Xiaoya Sun “False Discovery Rate Controlled Robust Variable Selection under Cellwise Contamination”
- Dennis Leung “A covariate-adaptive test for replicability across multiple studies with false discovery rate control”
- Jack Freestone “A semi-supervised framework for diverse multiple hypothesis testing scenarios”
- Fonti Kar “
heritableAn R package for heritability calculations for plant breeding trials” - James Curran “Genstat Markdown: Reproducible Research with Genstat”
- Tiphaine Saulnier “The 4S method for the longitudinal analysis of multidimensional questionnaires: application to Parkinson’s disease progression from patient perception”