AASC2022

  • Australasian Applied Statistics Conference + Workshops
  • 28 November - 2 December 2022
  • RACV Inverloch Resort, Victoria, Australia

Sponsor

Important dates

WhatDate
Registration opens2nd June 2022
Abstract submission opens4th July 2022
Abstract submission closes31st August 2022
Notification of acceptance22nd September 2022
Early bird registration closes30th September 2022
Registration deadline for presenters7th October 2022
Registration closes11th November 2022
Workshops28th November 2022
Conference29th November - 2nd December 2022

We are pleased to invite you to Victoria for the Australasian Applied Statistics Conference 2022 (AASC2022) to be held between the 29/11/2022 to the 2/12/2022 at the RACV Inverloch Resort in the heart of the South Gippsland Coast, on the edge of the Bunurong Marine and Coastal Park, and in reach of Wilsons Promontory and Philip Island. The conference will provide you with the opportunity to liaise with fellow statisticians within the agricultural, biological and environmental sciences and to keep abreast of the most recent developments in statistics within this area. This conference is in the series, originating with the initial Australasian Genstat conference in Canberra in 1979. The Genstat conference changed to the Australasian Applied Statistics Conference in 2011 to encompass the wider community of applied statisticians, and AASC conferences have been held in Palm Cove (Aus), Queenstown (NZ), Port Lincoln (Aus), Bermagui (Aus) and Rotorua (NZ).

One of the positive things of the conference is that it’s not too large, so that you can meet most people, and we hope you will make new friends and opportunities for collaboration. The themes of AASC2022 are (but not limited to) data visualization, data mining, deep learning for prediction and forecasting, ASReml in practice, and model selection for practitioners, as well as covering developments in Genstat. Our exciting group of invited speakers and workshop presenters (Patricia Menendez, Carolyn Huston, Francis Hui, Edward Cripps, Emi Tanaka, Roger Payne, Vanessa Cave, David Baird, Emlyn Williams, and Arthur Gilmour) will help explore these themes in various contexts.

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Invited Speakers

Workshops

Updates

Invited Speaker: Drs Vanessa Cave, David Baird and Roger Payne

New Developments in Genstat 22 The 22nd Edition of Genstat was released earlier this year. In this presentation, we will showcase some of the new enhancements and features in Genstat 22 and provide a glimpse into the developments underway in Genstat 23. A key statistical enhancement in Genstat 22 is provided by the new menus and procedures for generalised linear mixed model (GLMM) analysis. Genstat 22 provides considerably greater functionality for displaying and saving output from a GLMM, producing predictions, plotting residuals, and visualising the fit of a GLMM in a separation plot.

Invited Speaker: Dr Carolyn Huston

Emulation of the Spark bushfire solver, and building trust in uncertainty Biography: Carolyn Huston is currently a Senior Research Consultant at CSIRO’s Data61, where she has been involved in numerous commercial and strategic research projects related to bushfire risk and resilience, including estimation of fire consequence and loss. She completed a BSc. in Ecology at the University of Alberta, Canada; an MSc. in Biostatistics at the University of Alberta, Canada; and a PhD in Statistics and Simon Fraser University, where she researched West Coast of British Columbia Sockeye fisheries estimation, openings, and related problems using Bayesian hierarchical methods.

Invited Speaker: Dr Patricia Menéndez

Practical steps toward reproducibility Biography: Patricia Menéndez is a senior lecturer at the Department of Econometrics and Business Statistics at Monash University Business School. Patricia’s training is in mathematics and Statistics and she received her PhD from ETH Zurich in Switzerland. Since completing her PhD she has held academic positions at Wageningen University, University of New South Wales and University of Queensland. Before joining the department she has also worked outside academia as statistician/ecological statistician for the NSW Bureau of Crime Statistics and Research, and for the Australian Institute of Marine Science.

Workshop: Data Visualisation with R

Data Visualisation with R Data visualisation is a key statistical tool for effective communication and to understand aspects of data and models. The statistical language R is used widely for data analysis and visualization, e.g. the BBC Visual and Data Journalism team uses ggplot2 R-package to create production-ready charts. This workshop will teach you how to create production-ready graphics using the grammar of graphics implemented in ggplot2 R-package. The workshop will be hands-on with plenty of practical examples.