PROGRAM PRESENTATIONS

Please find below the program presentations received:

Keynote Presentations:

1: Susan Holmes: Title: Statistical challenges for microbial ecology Holmes

2: Mark Girolami: Title: Stochastic modelling of urban structure – A Bayesian perspective Girolami

3: Gael Martin: Title: Computing Bayes: Bayesian computation from 1763 -2017! Martin

4: Scott Sisson: Title: Modelling big data fast and on your laptop via symbolic data analysis Sisson

Invited Speaker:

Peter Donnelly: Title: Genomics and big data analytics: routes to improved drug development and better healthcare

Keynote Tutorials:

1: Susan Holmes: Title: Waste not want not: how to use all the data available: a lesson from Next Generation Sequencing Holmes_tutorial_part_1

2: Mark Girolami: Title: Probabilistic numerical computation: A role for (Bayesian) statisticians in numerical analysis? girolami_Tutorial

3: Gael Martin: Title: Recent advances in Approximate Bayesian Computation: Inference and forecasting Martin_Tutorial

4: Scott Sisson: Title: “Phew, what a scorcher!” A short introduction to modelling extremes Sisson_Tutorial

Invited Presentation Session 1

Giles Harper-Donnelly: Title: Understanding the behavior of complex cellular processes: Systems biology meets Bayesian inference GHD

Modelling

Helga Wagner: Title: Bayesian effect fusion for categorical predictors Wagner

Chaitanya Joshi: Title: Bayesian robustness for fault tree analysis Joshi

Clare McGrory: Title: A Bayesian statistical approach for detecting climate regime shifts McGrory

Invited Presentation Session 2

High Dimensional Inference

Shunsuke Horii: Title: Bayesian sparse-smooth modeling and variational inference Horii

Nick Golding: Title: greta: simple and scalable statistical modelling in R Golding

Christopher Drovandi: Title: New insights into history matching via sequential Monte Carlo Drovandi

Invited Presentation Session 3

Earl Duncan: Title: A-Z: 20 years of progress on the label switching problem Duncan

Priors

Nadja Klein: Title: Scale-dependent priors for variance parameters in structured additive distributional regression Klein

Samantha Low-Choy: Title: Eliciting and encoding pairwise comparisons: Accounting for exhaustion, incoherence and accuracy

Invited Presentation Session 4

Design

Introduction: James McGree

Yoshifumi Ukita: Title: A study on analytical properties of Bayesian experimental design model based on an orthonormal system Ukita

Pubudu Thilan: Title: Model-based adaptive design methods for improving the effectiveness of reef monitoring Pubudu

Mahasen Bandara Dehideniya: Title: Dual-purpose Bayesian design for parameter estimation and model discrimination of models with intractable likelihoods Mahasen

Poster Session 1

Presenter	Title
Matias Quiroz, University of New South Wales Business School	The Block Pseudo-Marginal Sampler
Khue-Dung Dang, University of New South Wales Business School	Hamiltonian Monte Carlo with Energy Conserving Subsampling
Brigitte Colin, Queensland University of Technology	Using Boosted Regression Trees and remotely sensed data to drive decision-making
Basim Saleh O Alsaedi, University of New England	Bayesian Multivariate Detection Limit and its Associated Uncertainty
Ziwen An, Queensland University of Technology	Accelerating Bayesian Synthetic Likelihood with the Graphical Lasso
Jose Romeo, Massey University	Bayesian modelling of temporal dependence for bivariate survival data using copulas Romeo
Leah Price, Queensland University of Technology	Efficient Use of Derivative Information within SMC Methods for Static Bayesian Models Leah
Peter Dillingham, University of Otago	Bayesian methods for sensors with non-linear responses
Jagath Senarathne, Queensland University of Technology	Bayesian sequential design for Copula models: a comparison of designs selected under different Copula models Jagath
Roy Costilla, University of Queensland	To be or not to be (Bayesian) Non-Parametric: A tale about Stochastic Processes
Farzana Jahan, Queensland University of Technology	A Review of Bayesian Statistical Methods Applied to Big Data Jahan
Daniela Vasco, Griffith University	What does NAPLAN mean to stakeholders? An exercise in elicitation
Daniel Kennedy, Queensland University of Technology	Cell-type specific methylation analysis of heterogeneous methylation signal Kennedy
Marcela Cespedes, Queensland University of Technology	Age dependent network dynamics via Bayesian hierarchical models reveal spatio-temporal patterns of neurodegeneration Cespedes
Peter Baker, University of Queensland	Bayesian modelling of transpiration rate response to atmospheric stress of 27 mature sorghum lines
Shovanur Haque, Queensland University of Technology	Assessing record linkage accuracy using similarity weight matrix with Markov chain based Monte Carlo simulation approach Haque
Hugh Andersen, Queensland University of Technology	Prediction of QUT HDR Student Outcomes Andersen
Renate Meyer, University of Auckland	Spectral density estimation of LIGO gravitational wave data using an AR-enhanced Whittle likelihood
Insha Ullah, Queensland University of Technology	Scalable Dirichlet process mixture models for analysis of big data
Miles McBain,Queensland University of Technology	The Arrival of Web VR for Communicating Science

Poster Session 2

Presenter	Title
Beatrix Jones, Massey University	Sparse estimates from dense precision matrix posteriors Jones
Andrés Ramírez Hassan, Monash University	Focused Econometric Estimation: The interplay between the Bayesian and frequentist approaches
Fui Swen Kuh, The Australian National University	Model-based socio-economic health measures using causal modelling
Liana Jacobi, University of Melbourne	Automated Sensitivity Computations for MCMC Gibbs Output
Patricia Gilholm, Queensland University of Technology	Modelling developmental trajectories of children with disabilities
Markus Hainy, Queensland University of Technology	ABC model selection for spatial max-stable models applied to South Australian maximum temperature data Hainy
Nicholas Tierney, Monash University	Now you see it? Now you don’t? The role of graphics in identifying MCMC convergence
Matthew Sutton, Queensland University of Technology	Multivariate Bayesian Sparse Group Selection with Spike and Slab
Mathieu Fourment, University of Technology Sydney	Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals
Aswi Aswi, Queensland University of Technology	Bayesian spatio-temporal estimation of dengue fever: when areas are few Aswi
Anthony Ebert, Queensland University of Technology	Parameter Inference and Forecasting for Dynamic Queueing Networks
Saras Mei Windecker, University of Melbourne	Decomposition of wetland plants: a non-linear hierarchical Bayesian approach Windecker
Kate Devitt, Queensland University of Technology	Antagonising the echo chamber: Can a social network counteract cognitive bias with Bayesian rationality?
Paul Wu, Queensland University of Technology	Absorbing Markov Chains and Persistence in Complex Ecosystem Models
Jess Cameron, Queensland University of Technology	A comparison of approaches for benchmarking service organisations Cameron
Xuhui Fan, University of New South Wales	Stochastic Patching Process
Nhung Nghiem Otago University	Bayesian Demand Analysis of Virtual Supermarket Experiment
Sam Clifford, Queensland University of Technology	Visualisation of random effects in Bayesian hierarchical models
Bulukami Mlalazi, Qld University of Technology	Modular Shiny apps for reproducible data communication Mlalazi