Events
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Bayesian hierarchical stacking—All models are wrong, but some are somewhere useful
FeaturedBayesian hierarchical stacking—All models are wrong, but some are somewhere useful Stacking is a widely used model averaging technique. Like many other ensemble methods, stacking is more effective when model predictive performance is heterogeneous in inputs, in which case we can further improve the stacked mixture with a hierarchical model. In this talk I will focus on the recent development of Bayesian…
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ACEMS Impact Workshop for Researchers and Students
ACEMS Impact Workshop for Researchers and Students ACEMS is pleased to invite you to attend a workshop on the topic of Research Impact, tailored for the mathematical sciences. It will be co-facilitated by Impact Research Academy and ACEMS. Workshop Details - Please RSVP (for Zoom Links) Aims and Benefits of Workshop This workshop is designed,…
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Australian and New Zealand Statistical Conference (ANZSC2021)
Virtual - Zoom and Slack , AustraliaAustralian and New Zealand Statistical Conference (ANZSC2021) The organising committee warmly invites you to the 2021 Australian and New Zealand Statistical Conference, which will take place online from the 5th to the 9th July 2021. This conference brings together three leading statistical communities – the Statistical Society of Australia, the New Zealand Statistical Association – and the Australian…
$200.00 -
2021 AMSI Winter School on Statistical Data Science
2021 AMSI Winter School on Statistical Data Science AMSI and Queensland University of Technology are proud to present the 2021 Winter School on Statistical Data Science from 12-23 July. For the first time, the program will be hosted virtually with options for students to attend event hubs in selected states. Boasting an impressive speaker line-up,…
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AI4Pandemics Talk #1: Chris Rackauckas, MIT
ZoomThe first AI4PAN seminar speaker will be Chris Rackauckas (MIT) YouTube Recording Title: Learning Epidemic Models That Extrapolate. Abstract: Modern techniques of machine learning are uncanny in their ability to automatically learn predictive models directly from data. However, they do not tend to work beyond their original training dataset. Mechanistic models utilize characteristics of the…
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ACEMS Virtual Public Lecture – A Song of Wind & Fire
ACEMS Virtual Public Lecture - A Song of Wind & Fire: a statistical journey through an uncertain world In this lecture, ACEMS Associate Investigator Dr Rachael Quill will explore how shedding light on the uncertainties of wind flow across the environment can support informed decision-making in bushfire management and renewable energy generation. The weather and…