International Astrostatistics Association

Previous Meetings and Events

Applied Statistical Methods in Astronomy: Gaussian Processes and Machine Learning10.01.2018 Applied Statistical Methods in Astronomy: Gaussian Processes and Machine Learning
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This is a Special Session within the 231th meeting of the American Astronomical Society and is sponsored by the AAS Working Group on Astroinformatics and Astrostatistics and the CHASC International Center for Astrostatistics. The goal of this special session is to review advances in the newly popular methods of gaussian processes and machine learning, to present applications to data, and to discuss current issues and future perspectives. The invited talks include discussion of application of gaussian processes to time-series spectra in exoplanet research, machine learning techniques to quantify variability states of a micro-quasar, machine learning application in cosmology, and handling multi-catalogs source detection.

More information can be found here.

2017 AGU Fall Meeting11.12.2017 - 15.12.2017 2017 AGU Fall Meeting
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New Orleans LA

This meeting of the American Geophysical Union with >20,000 attendees has a number of sessions associated with the Earth and Space Sciences Informatics Section. One is a session entitled 'Big Data Approaches for NASA Science Missions'.

More details can be found here.

Data analysis workshop29.11.2017 - 01.12.2017 Data analysis workshop
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Madrid

Continuation of an annual series of workshops in advanced statistical methods for astronomy, sponsored by the European Space Agency's ESAC institute near Madrid, Spain. Instructors for the workshop will be Brendon Brewer, Ewan Cameron, Coryn Bailer-Jones, and Michelle Lochner.

XLDB 201710.10.2017 - 12.10.2017 XLDB 2017
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Initiated in 2007 in Stanford, Silicon Valley, the Extremely Large Databases annual conference (XLDB) brings together the actors involved in the management of  large amounts of data (Google, Amazon, Facebook, Oracle, Terradata, LinkedIn, Monetdb, PostgreSQL, M.I.T., CERN, ...).

For the first time in its history, this international conference will be held outside the United States, in the amazing thermal station of Royat, near Clermont-Ferrand, in Auvergne.

The program will soon be finalized and Databricks and Apache Flink are already part of it, as well as leading scientists and industrials in the European Big Data. Moreover, the third day of the conference will be dedicated to a Hackaton and it will be possible to
interact with technology experts.

 

School of Statistics for Astrophysics 2017: Bayesian Methodology09.10.2017 - 13.10.2017 School of Statistics for Astrophysics 2017: Bayesian Methodology
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First announcement.

School of Statistics for Astrophysics 2017: Bayesian Methodology 
9-13 Octobre, 2017, L'Escandille, Autrans (France)

This third session of the School of Statistics for Astrophysics will be devoted to the Bayesian methodology. This school will form the participants to both a strong theoretical background and a solid practice of Bayesian inference.

Website: https://stat4astro2017.sciencesconf.org/


 

Astrostatistics Special Session at the HEAD16 meeting21.08.2017 Astrostatistics Special Session at the HEAD16 meeting
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19:30 o’clock
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21:00 o’clock
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Sun Valley, WY

The field of AstroStatistics is at the intersection of observational Astronomy, Statistics, and data science. In recent years, there has been a massive increase in the development and, application of new statistical methods to problems in high energy astrophysics. In particular Bayesian methods using Markov Chain Monte Carlo have been implemented in both XSPEC and Sherpa. The goal of our session is to review advances in statistical methods, to present applications to data, and,to discuss current issues and future perspectives. The session includes talks from both, astronomers and statisticians and a time for discussion.

More information can be foundhere

La Serena School for Data Science: Applied Tools for Data-driven Sciences21.08.2017 - 29.08.2017 La Serena School for Data Science: Applied Tools for Data-driven Sciences
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La Serena

Applied Tools for Data-driven Sciences is an intensive week of interdisciplinary lectures focused on applied tools for handling big astronomical data. Participants will be instructed in how astronomical data are processed, accessed and analyzed, including reduction pipelines, databases, and scientific programming. The School will be taught by an international and interdisciplinary group of professors who will use real data and access to Chilean national supercomputers.

More information can be found here.

16th Divisional Meeting of the High Energy Astrophysics Division (HEAD) of the AAS20.08.2017 - 24.08.2017 16th Divisional Meeting of the High Energy Astrophysics Division (HEAD) of the AAS
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The 16th High Energy Astrophysics Division meeting. Topics covered include a large range of subjects related to high-energy astrophysics. Plan to participate in watching the 2017 Solar Eclipse!

 

For more info can be found here.

8th Planetary Crater Consortium meeting09.08.2017 - 11.08.2017 8th Planetary Crater Consortium meeting
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The 8th Planetary Crater Consortium (PCC) Meeting will be held in the Building 6 (Shoemaker Center for Astrogeology) Roddy conference room at the US Geological Survey in Flagstaff, AZ. The meeting will include time for contributed oral and poster presentations and sufficient time for general discussion topics.  You do not have to present an oral or poster presentation in order to attend the meeting. 

Abstracts (2 page LPSC style) are due Friday, August 4, 2017, by 5:00 PM MST/PDT.

An optional field trip around the rim of Meteor Crater will be scheduled for Saturday, August 12, 2017, if there is sufficient interest. Please contact Nadine Barlow by June 1, 2017, if you are interested in the field trip.

 

2017 Joint Statistical Meetings29.07.2017 - 03.08.2017 2017 Joint Statistical Meetings
Start
08:00 o’clock
End
17:00 o’clock
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These annual meetings of several societies of North American statisticians are the largest regular meetings in the world with ~6000 attendees. Sessions on astrostatistics are typically organized.

More information can be found here.