- Dates: 17 February 2021 10:30 am - 19 February 2021 4:00 pm
- Time zone is AEDT
- Categories: Conferences, Scientific Workshop
- Website: https://www.matrix-inst.org.au/events/phd-student-symposium-spatial-and-temporal-statistics/
Laura Cartwright (University of Wollongong)
Quan Vu (University of Wollongong)
The Spatial and Temporal Statistics Symposium (STSS) will have a focus on spatial, temporal, and/or spatio-temporal applications of statistics. This field of statistics involves analysis of spatial, temporal, and/or spatio-temporal data, which arise in applications in various disciplines, such as environmental sciences, engineering, ecology, epidemiology, and economics. The symposium is open for Honours, Masters, PhD students, academic researchers, and industry professionals, and will have a focus on research students. The schedule will consist of participant-delivered talks organised by themes (e.g., methodology and case studies), along with keynotes, industry talks, mini tutorials, and an open discussion session. The STSS will allow students from many different backgrounds to come together and discuss the similarities, differences, ideas, and innovations surrounding how spatio-temporal statistics can be used in their research.
The symposium mainly focuses on the development and collaboration between PhD students in spatial and temporal statistics. Specifically, the goal of the symposium is to:
If you have any questions, please don’t hesitate to contact the organisers at email@example.com
Further information: https://stss2021.wordpress.com/
We would like to invite students doing research in spatial and temporal statistics to give 20-minute contributed talks.
Some of the relevant topics are listed below:
Abstract submission for contributed talks closes on 29 January 2021
This symposium is supported by MATRIX and AMSI.
To support post-symposium research collaboration between PhD student participants, MATRIX-AMSI are providing funding through the MATRIX-AMSI PhD Student Research Collaboration Scheme. https://www.matrix-inst.org.au/phd-student-research-collaboration-scheme-guidelines/