Draft Schedule

Or see the interactive version here.

Please note that this is a draft program and is subject to change.

Tue

time	Arc Cinema	Theatre
9:00	On Finding Good Experiments Cheng Soon Ong
10:00	Data-Adaptive Automatic Threshold Calibration for Stability Selection Martin Huang	Estimating abundance in small populations using pedigree reconstruction Sarah Croft
	Variable Selection in a Joint Model for Huntington’s Disease Data Rajan Shankar	Accounting for heterogeneous detection rates when inferring eradication of an invasive species Sean A. Martin
	StableMate: a regression framework for selecting stable predictors across heterogeneous data environments Yidi Deng	Zero-inflated Tweedie distribution for abundance of rare ecological species Nokuthaba Sibanda
11.15	Extending Spatial Capture-Recapture with the Hawkes Process Alec B. M. van Helsdingen	Group Sampling with Imperfect Testing for Biosecurity Applications Adele Jackson
	A Test for Detecting Multiple Clusters with Hotspot Spatial Properties Kunihiko Takahashi	Koala Distirbution and Abundance Scott D. Foster
	Outlier-robust estimation of state-space models using a penalised approach Garth Tarr	Speed: An R package for Spatially Efficient Experimental Designs Sam Rogers
	Disease cluster detection via functional additive models incorporating spatial correlation Michio Yamamoto	Running Human Subject Experiments via Online Crowdsourcing Patrick Li
13.45	Bayesian clustered ensemble prediction for multivariate time series Shonosuke Sugasawa	Building Trust Without Peer Review: Establishing Reproducibility Standards in Industrial Statistical Consulting Dean Marchiori
	The difficulties of clustering categorical or mixed data Louise McMillan	Teaching Meta-Analysis for Systematic Reviewers with Mixed Statistical Training Xu Ning
	Species archetype models for presence-only data Skipton N.C. Woolley	Tales from the jungle: a personal perspective of statistical consulting since COVID Alice Richardson
		Better Conversations, Better Support: Strengthening Consulting through Practical Education and Community Sharon G. Nielsen
15.30	Nested-factorial treatment models: types, their uses and examples Chris Brien	Enhancing Fraud Detection in Banking through Random Survival Forests: Addressing Data Imbalance and Model Transparency Arjun Sekhar
	Integrating Spatial Data and On-Farm Experimentation to Understand Wheat Variety Performance Across Western Australia Sandra K. Tanz	Using point cloud data to discover genomic regions associated with dynamic height Colleen H Hunt
	Multi-environment trial analysis of count data with complex variance structures using generalised linear mixed models Michael H. Mumford	Automatic debiased machine learning (autoDML) for causal inference: implementation and evaluation in real-world observational studies Tong Chen
17.00	Using atmospheric transport models to predict species incursions in northern Australia Zhenhua (Iris) Hao Dr
	Visualisation of multinomial multilevel time-series modelling with application to current smoking status Alice Richardson
	Paired Comparison with Cyclic Dominance: An Extension of the Bradley–Terry Model Yuki Ohno
	Cleaning Text Data with Large Language Models Jiajia Li
	ggincerta: An R Package for Uncertainty Visualisation with a Layered Grammar of Graphics Xueqi Ma
	The “Theory of Sampling” (ToS) - have statisticians missed the boat? Damian Collins
	Evaluating Diagnostic Performance via Bayesian \(F_1\) Score Estimation without a Gold Standard Jun Tamura
	Evaluating Remote Monitoring in Automated Peritoneal Dialysis: A Difference-in-Differences Analysis Annie Conway
	Judgement Post-Stratification for Covariate Adjustment in Pairwise Comparisons in Block Designs Sam Rogers
	Small Area Estimation of Fertility Rate in the Philippines using DHS and Census Data George Manapat
	Bayesian inference for sparse Gaussian copula graphical model Tomotaka Momozaki
	Visualization for departures from symmetry with the power-divergence-type measure in square contingency tables Wataru Urasaki
	Performance of Factor Analytic Mixed Models and Plackett–Luce Models for Genotype Ranking in Multi-Environment Trials Jiazhe Lin

Wed

time	Arc Cinema	Theatre
9:00	Uses of gnm for Generalized (Non)linear Modelling Heather L. Turner
10:00	Scalable finite mixture of regression models for clustering species responses in ecology Francis KC Hui	Using a linear mixed model based wavelet transform to model non-smooth trends arising from designed experiments Clayton Forknall
	Elastic Net Regularization for Vector Generalized Linear Models: A Flexible Framework for High-Dimensional Biomedical Data Wenqi Zhao	Functional Data Analysis for the Australian Grains Industry Braden J. Thorne
	Fitting Generalised Linear Mixed Models using Sequential Quadratic Programming Peter Green	Bayesian Ordinal Regression for Crop Development and Disease Assessment Zhanglong Cao
11.15	Surveillance for counterfactual scenarios of invasive species - why it’s useful and a convenient  way to do it. Andrew P. Robinson	Estimating extinction time from the fossil record using regression inversion David I. Warton
	Optimal allocation of resources between control and surveillance for complex eradication scenarios Mahdi Parsa	The performance of Yu and Hoff’s confidence intervals for treatment means in a one-way layout Paul Kabaila
	Inferring the rate of undetected contamination using random effects modelling of biosecurity screening histories Sumonkanti Das	Rate-optimal sparse gamma scale mixture detection Michael Stewart
	Optimal sampling in border biosecurity: Application to skip-lot sampling Raphael Trouve	Extension of the corrected score estimator in a Poisson regression model with a measurement error Kentarou Wada

Thu

time	Arc Cinema	Theatre
9:00	Modularizing Biometric Models Facilitates Multistage Computing Mevin B. Hooten
10:00	Visualize your fitted non-linear dimension reduction model in the high-dimensional data space P. G. Jayani Lakshika	Reporting Odds Ratios under Fluctuating Reporting Rates in Spontaneous Reporting Systems Tatsuhiko Anzai
	The geometry of diet: using projections to quantify the similarity between sets of dietary patterns Beatrix Jones	Handling Missingness in Prevalence Estimates from National Surveys Oyelola Adegboye
	Multivariate meta-analysis methods for high-dimensional data Alysha M. De Livera	Pooled testing with penalized regression models Christopher Bilder
11.15	Integrated Species Distribution Models: A Single-Index Approach Quan Vu	Crossvalidation for predictive models in complex survey data Thomas Lumley
	Simultaneous Inference for Latent Variable Predictions in Factor Analytic Models Zhining Wang	A Set of Precise Asymptotics for Gaussian Variational Approximation in Generalised Linear Mixed Models Nelson J. Y. Chua
	Model-based assessment of functional and phylogenetic diversity Shaoqian Huang	An allometric differential equation model quantifies energy trade-offs between growth and reproduction under temperature variation Hideyasu Shimadzu
	Fitting integrated species distribution models using mgcv Elliot Dovers	A circular hidden Markov model for directional time series data A.A.P.N.M. Perera
13.45	Evaluating the impact of trait measurement error on genetic analysis of computer vision-based phenotypes Gota Morota	Do Mice Matter? The Impact of Mice on a New Zealand Ecosanctuary Vanessa Cave
	Predication of Daily Weight Gain with Cattle Behaviour and Daily Activity Using Triaxial Accelerometer Data Shuwen Hu	Modelling Species Diversity from Citizen-Science Bird Counts Graham Hepworth
	Fishing for Heritability in the Gill Microbiome: Why Statisticians Should get out into the field Elle Saber	Continental-Scale Bayesian Analysis of Acacia Flowering Phenology: A Novel Framework Integrating Phylogenetic Signal and Circular Statistics Owen Forbes
		Spatio-Temporal Species Distribution Modelling Sam Mason
15.30	The equalto covariance structure for meta-analysis using the glmmTMB R package Coralie C. Williams	Extending diagnostic validity meta-analysis to several diagnostic guidelines Alain C. Vandal
	Simulation-based Inference about Variance Components Farwa Saleem	Risk of Guillain-Barré Syndrome after COVID-19 vaccination and SARS-CoV-2 infection: A multinational self-controlled case series study Han Lu
	A Proportional Random Effect Block Bootstrap for Highly Unbalanced Clustered Data Zhi Yang Tho	Childhood Risk and Resilience Factors for Pasifika Youth Respiratory Health: Accounting for Attrition and Missingness Siwei Zhai
		A missing data detective story – how I navigated through a perfect storm of drop-out’s, COVID and informative missingness. Eve Slavich

Fri

time	Arc Cinema	Theatre
9:00	Saddlepoint approximations for likelihoods Jesse Goodman
10:00	False Discovery Rate Controlled Robust Variable Selection under Cellwise Contamination Xiaoya Sun	Genstat Markdown: Reproducible Research with Genstat James M. Curran
	A covariate-adaptive test for replicability across multiple studies with false discovery rate control Dennis Leung	The 4S method for the longitudinal analysis of multidimensional questionnaires: application to Parkinson’s disease progression from patient perception Tiphaine Saulnier
	A semi-supervised framework for diverse multiple hypothesis testing scenarios Jack Freestone	heritable An R package for heritability calculations for plant breeding trials Fonti Kar
11.15	Optimizing research impact through interdisciplinary and collaborative research Charmaine B. Dean