Young Statisticians Conference is a biennial conference for students and early career researcher in statistics sponsored by Statistical Society of Australia.
For the enjoyment of all participants of YSC2019 we expect delegates to abide by the Society’s Code of Conduct. The organisers of YSC2019 are committed to providing a conference that is welcoming and safe for all participants, is free from discrimination and harassment, where all participants are treated with dignity and respect. Please familiarise yourself with this event’s Code of Conduct.
A response team will be available at the conference, should anyone wish to report unacceptable behaviour.
|Conference abstract submission closes||Sunday 16 June|
|Notification of conference abstract acceptance||Monday 1 July|
|Early bird registration period ends||Thursday 1 August !! Updated !!|
|Three-minute video competition submissions due||Monday 15 September|
|Conference registration closes||Tuesday 17 September|
|Pre-conference workshop||Monday 30 September|
|Trivia Night||Monday 30 September|
|Conference opens||Tuesday 1 October|
|Conference dinner||Tuesday 1 October|
|Conference closes||Wednesday 2 October|
The Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) brings together a critical mass of Australia’s best researchers in applied mathematics, statistics, mathematical physics and machine learning. The Centre brings together researchers from across Australia, engaging in research programs that combine innovative methods for the analysis of data with theoretical, methodological and computational foundations provided by advanced mathematical and statistical modelling. ACEMS aims to create world-class research at the frontiers of the mathematical sciences dealing with probability and randomness, and to translate this research into new insights that benefit society.
The Australian Bureau of Statistics (ABS) is Australia’s national statistical agency, providing trusted official statistics on a wide range of economic, social, population and environmental matters of importance to Australia. The role of the ABS is to provide the statistical information that Australia needs, respond to the changing information priorities of its stakeholders, enhance the ways that it interacts with its stakeholders, develop and maintain community trust, which is fundamental to its ability to collect high quality information, enable effective and safe use of its statistics, coordinate and advise official bodies on statistics, including developing, and ensuring compliance with, statistical standards, fulfil its role as an Accredited Integrating Authority, build its capacity to take advantage of opportunities, such as advances in technology, big data, and use of administrative information for statistical purposes, ensure cost-effect operations, including better use of existing information, collect information more efficiently, streamline processes, and reduce the impact on those who provide statistical information. It is the highest priority of the ABS to deliver high quality official statistics. To ensure that the ABS can deliver relevant, trusted, objective statistics, it is transforming the ABS and partnering with stakeholders to innovate, develop and implement new statistical solutions. The ABS also has an important leadership role, coordinating statistical activities and collaborating with official bodies in the collection, compilation, analysis and distribution of statistics. In addition, the ABS provides technical advice and assistance to the Australian and state and territory governments in relation to statistics, develops standards for statistics, and helps to ensure compliance with those standards. The ABS Corporate Plan, outlining the ABS purpose, strategic priorities, operating environment and performance measures, can be found on the ABS website.
AMSI is the collaborative enterprise of Australia’s mathematical sciences. They pursue collaboration between member orgaisations to promote mathematics in school eductaion, improve research base in Australia and strengthen the industry-university link.
Minitab helps companies and institutions to spot trends, solve problems and discover valuable insights in data by delivering a comprehensive and best-in-class suite of statistical analysis and process improvement tools. Combined with unparalleled ease-of-use, Minitab makes it simpler than ever to get deep insights from data. Plus, a team of highly trained data analytic experts ensure that users get the most out of their analysis, enabling them to make better, faster and more accurate decisions. With its foundations in academia, Minitab is the leading software used for statistics education at more than 4,000 colleges and universities worldwide. More students learn statistics with Minitab than with any other software. In 2017, Minitab acquired Salford Systems, a leading provider of advanced analytics which delivers a suite of powerful data mining, predictive analytics and modelling capabilities. Unlock the value of your data with Minitab. For more information visit www.minitab.com.
RStudio helps people understand and improve the world through data. We build tools that enable robust and reproducible data analysis through programming, paired with tools that make it easy to share insights. Our core software is open source, freely available to anyone. Our professional software equips individuals and teams to develop and share their work at scale.
Survey Design is the authorised distributor in Australia and New Zealand for Stata, Arbutus, Stat/Transfer, QDA Miner and WordStat software. They provide data-based research software for researchers, educators, students and analysts to solve data based questions.
UniBank is a member owned mutual bank who offer a range of personal banking and services to people working and studying in tertiary and post-secondary qualifications. Founded in 1964, they continued to ensure their members to have a brighter future.
UniSuper manages $70+ billion in net funds for over 400,000 members include students and researchers. UniSuper is the super fund dedicated to people working in Australia's higher education and research sector.
You can sponsor our future statisticans! Click here to see how to sponsor YSC 2019.
Teresa Dickinson is the Deputy Australian Statistician leading the Census & Data Services Group. The Census & Data Services Group is responsible for collecting the data the ABS uses in its work and disseminating the official statistics, data and insights it produces to inform Australia's important decisions. The Group provides statistical infrastructure to support work of the ABS and leads its work to expand and improve data sharing, data integration and microdata access across government. It also leads planning underway for the 2021 Census. Teresa joined the ABS in April 2018 after four years as a Deputy Government Statistician and Deputy Chief Executive at Statistics New Zealand. At Stats NZ she held a variety of roles, including leading their transformation program, providing statistical infrastructure and – most recently - leading data collection and production of official statistics and insights across economic, social and environmental statistics. This included responsibility for leading their 2018 Census, which was undertaken in March. During a career spanning 30 years, Teresa has worked in a wide range of statistical and data roles in the public sector including Commonwealth Government (AIHW and ABS previously), Victorian State Government and scientific research (CSIRO). She has over 15 years’ experience at senior executive levels. Teresa holds Master of Statistics and a Master of Business Administration degrees. She is a University Medallist and Accredited Statistician with the Statistical Society of Australia.
Dr Moreno-Betancur is a Senior Research Fellow in Biostatistics and part of the management team of the Victorian Centre for Biostatistics (ViCBiostat), a collaboration of researchers across three institutions (Murdoch Children’s Research Institute, The University of Melbourne and Monash University). After a BSc in Pure Mathematics at Universidad de los Andes (Bogota) and an MSc in Statistics at Université Pierre et Marie Curie (Paris), Dr Moreno-Betancur obtained a PhD in Biostatistics from Université Paris-Sud (Paris). Prior to arriving in Melbourne, she held a postdoctoral role at the French Epidemiology Centre on Medical Causes of Death (Inserm CépiDc). Her research concerns the development of statistical methods for the analysis of clinical and population health studies, with focus on the areas of survival analysis, causal inference and missing data. Her work is strongly motivated by analytical issues arising in studies on which she collaborates, particularly in child and adolescent health.
Alison Hill is a Data Scientist & Professional Educator at RStudio, developing free and open source tools to make it easier and more fun to do data science with the statistical programming language. Alison studied psychology and quantitative methods, receiving her Ph.D. from Vanderbilt University in 2008. For eight years, she was a professor and scientist at Oregon Health & Science University, where her research was funded by the National Institutes of Health, the Oregon Clinical and Translational Research Institute, and Autism Speaks. She has written numerous scientific journal articles and book chapters on autism and neurodevelopmental disorders. She has developed and delivered workshops, graduate-level courses, and curricula based on teaching R, the tidyverse, and literate programming.
Dr Calvin Hung is a Data Scientist at QuantumBlack. QuantumBlack is an advanced analytics firm and part of McKinsey & Company, operating at the intersection of strategy, technology and design to improve performance outcomes for organisations. Calvin holds a BSc in Physics and Mathematics, a BEng in Aerospace and a PhD in Robotics, all from the University of Sydney. His research focused on applying Deep Learning techniques to help robots navigate real world environments. After 3 years of postdoc Calvin joined the finance industry, developing systems to improve financial well-being of customers. Calvin joined QuantumBlack in 2017 and has since worked on a variety of transformation programs across retail, telco, mining and pharmaceutical industries.
The schedule of the conference is programmed as the following:
|1st October 9:00 am||Welcome/house keeping||-|
|9:05 am||Welcome to country||-|
|9:15 am||Invited speaker||-|
|Teresa Dickinson||Deputy Australian Statistician, Australian Bureau of Statistics|
|10:00 am||Population and economics||-|
|10:00 am||Stephanie Kobakian||sugarbag: hexagons maps and life in Australia|
|10:12 am||Karuna Reddy||Optimal Stratification in Sampling of Forest Populations|
|10:24 am||Zhi Yang Tho||On the Robust Estimation for Spatial Autoregressive Model|
|10:36 am||James Bailie||Using Admin Data and Machine Learning to Predict Dwelling Occupancy on Census Night|
|10:48 am||Muhammad Ejaz||Adversarial Risk Analysis for First-Price Sealed-Bid Auctions|
|11:00 am||Morning Tea||-|
|11:30 am||Bioinformatics, agricultural and environmental||-|
|11:30 am||Sam Rogers||A comparison of linear mixed model packages in R for analysis of plant breeding comparative experiments|
|11:42 am||Xiangnan Xu||A local consistency visualization (LC-vis) method for nutrigenomics|
|11:54 am||Aline Kunnel||Can Hypercubes Overcome the Issue of High Dimensionality in Gene Expression Data for Sepsis?|
|12:06 pm||Laura Cartwright||Bayesian atmospheric tomography for detection and estimation of methane emissions|
|12:18 pm||Sophie Schiller||Detecting Migration Routes for the First Peoples of Australia|
|12:30 pm||Annie Conway||A genome-wide association study on drought tolerance in barley|
|12:35 pm||Yiwen (Wendy) Li||Experiments on canola emergence for Ag Science students: project-based teaching of statistics|
|12:40 pm||Udani Abhisheka Wijewardhana||Statistical models for the persistence of threatened birds developed using citizen science data|
|1:45 pm||Invited speaker||-|
|Calvin Hung||Data Scientist, QuantumBlack|
|2:30 pm||Applied biostatistics and biostatistics in practice||-|
|2:30 pm||D.K. Ishara||Forecasting daily counts of patient presentations in Australian emergency departments using statistical models with time-varying predictors: a retrospective study|
|2:42 pm||Chrianna Bharat||Predicting alcohol dependence among early adolescent regular alcohol users|
|2:54 pm||Taya Collyer||What makes a good statistical collaborator? Insights from 45 interviews with public health researchers|
|3:06 pm||Lachlan Webb||Using Segmented Regression to describe the clearance profile of an antimalarial in human infections|
|3:18 pm||John Warmenhoven||Bringing functional data analysis to the field of sport science: examples from rowing.|
|3:30 pm||Afternoon tea||-|
|4:00 pm||Careers Panel||-|
|2nd October 9:00 am||Welcome||-|
|9:00 am||Invited speaker||-|
|Alison Hill||Data Scientist & Professional Educator, Rstudio|
|9:45 am||Mathematical statistics||-|
|9:45 am||Farzana Jahan||Bayesian Empirical Likelihood Spatial Model applying Leroux Structure|
|9:57 am||Sarah Romanes||Using Variational Approximations to efficiently build a generalised discriminant analysis (genDA) algorithm.|
|10:09 am||Peilun He||On the Parameter Estimation in the Schwartz-Smith’s Two-Factor Model|
|10:21 am||Nelson Chua||Asymptotic Relative Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes|
|10:33 am||Ravindi Nanayakkara||Stochastic Modelling and Statistical Analysis of Cosmic Microwave Background Data|
|10:45 am||Haruki Osaka||Asymptotic theory for the hypothesis testing problem for the number of components in a normal mixture model|
|10:50 am||Aya Alwan||mpcmp: fitting dispersed count data using mean parametrized Conway-Maxwell-Poisson models|
|10:55 am||Bradley Wakefield||The Multivariate Moments Problem: A Solution to Privacy Concerns of Synthetic Data|
|11:00 am||Morning Tea||-|
|11:30 am||Biostatistical methods||-|
|11:30 am||Monsurul Hoq||Comparison of statistical methods for constructing age-specific paediatric reference intervals: a simulation study|
|11:42 am||Rushani Wijesuriya||Evaluation of approaches for multiple imputation in three-level data structures|
|11:54 am||Ruoxu Tan||Group testing regression analysis with missing data|
|12:06 pm||Jeffrey Pullin||Bayesian analysis of noisy categorical ratings in health and medicine|
|12:18 pm||Philip Clare||Comparison of methods for adjusting for exposure-affected time-varying confounding in the presence of missing data – a Monte-Carlo simulation study|
|12:30 pm||Quoc Duyet Tran||Bayesian agreement measure for ordinal outcomes|
|12:35 pm||Farzana Jahan||Augmenting Disease maps: a Bayesian meta-analysis approach|
|12:40 pm||Connor Smith||VIVID: Visualising model stability information|
|12:45 pm||Kim Jachno||Accounting for non-constant rates and time-dependent treatment effects when designing, analysing and reporting clinical trials: a review|
|1:50 pm||Video competition||-|
|2:00 pm||Computer science||-|
|2:00 pm||Jiadong Mao||Nonparametric estimation for streaming data|
|2:12 pm||Nicholas Tierney||Making better spaghetti (plots): Exploring the individuals in longitudinal data with the brolgar package|
|2:24 pm||Lisa Thomasen||Influencing Data Culture to Enable Opportunities for Analytics|
|2:36 pm||Sayani Gupta||Exploring probability distributions for bivariate temporal granularities|
|2:48 pm||Huize (Sherry) Zhang||Exploration of Judicial Facial Expression in Videos and Transcripts of Legal Proceedings|
|3:00 pm||Matthew J. Gibson||Robust convolutional networks for label noise|
|3:05 pm||S. Sandun Malpriya Silva||Identifying the future state of engagement of participants in physical activity programs using mixture hidden Markov models: including a web based application for intervention|
|3:10 pm||Samudra Herath||Name-like Numbers for Simulating Names in Entity Resolution|
|3:15 pm||Rajas Kulkarni||Iwi Index of Multiple Deprivation for Ngai Tahu|
|3:20 pm||Daniel Flores Agreda||Bootstrapping Clustered Data with a Random Weighted Laplace Approximation|
|3:25 pm||Afternoon tea||-|
|3:55 pm||Invited speaker||-|
|Margarita Moreno-Betancur||Senior Research Fellow, VicBiostat|
|4:40 pm||Closing, Video Competition & Awards||-|
For presenters coming into our conference, we have provided a guideline and tips for all presenters.
FloriadeYSC2019 is timed perfectly so that delegates have the opportunity to experience Australia’s biggest celebration of spring: Floriade. This iconic Canberra event will run from Saturday 14 September until Sunday 13 October 2019. Floriade is more than thousands of flowers. Click here to see what it’s all about: https://floriadeaustralia.com/event-info/
How to get to CanberraThere are frequent domestic flights from major Australian capital cities to Canberra. It is only an easy three-hour drive from Sydney and an eight-hour drive from Melbourne. There are plenty of scenic routes if you like to get off the beaten track and visit one of the many country towns along the way. To find out more about Canberra, follow these links: https://visitcanberra.com.au/ https://www.australia.com/en/places/canberra-and-surrounds/guide-to-canberra.html To get a first impression, why not check out this latest episode of “Travel Guides”. It’s now available on Channel Nine: https://www.9now.com.au/travel-guides/season-3/episode-9.
|Raaj Kishore Biswas||Chair|
|Philip Clare||Program Chair|
|Janan Arslan||Committee Secretary|
|Myra McGuinness||Co-Abstract Submissions Manager|
|Jemisha Apajee||Co-Abstract Submissions Manager|
|Emi Tanaka||Website Manager|
|John Yeung||Assistant Website Manager|
|Kylie-Ann Mallitt||Social Media Manager|
|Sharmala (Sharm) Thuraisingam||Sponsorship Manager|
|Nidhi Menon||Venue Liaison/Local Contact|
|Ratih Putri Pertiwi||Social Program Manager|
|Marie-Louise Rankin||Executive Officer|