IAU-IAA Astrostats & Astroinfo seminar(archived version by January 2023)

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other computer science space physics and aeronomy data analysis, statistics and probability

Audience: Researchers in the topic
Seminar series times: No fixed schedule
Curators: Stefano Andreon, Fabio Castagna, Andriy Olenko*, Tsutomu T. TAKEUCHI
*contact for this listing

This is an archived version of the seminar with information about talks by January 2023.

Use the following link for the new version: sites.google.com/view/iau-iaaseminar-new


Joint IAU-IAA Astrostats & Astroinfo seminar series focuses on statistical and computational methodological challenges arising in the various fields of astronomy. It discusses existing and new advanced approaches in statistical analysis and data mining of astronomical data.

In the 21st century, increasing resources are devoted to wide-field astronomical surveys, multi-dimensional data, and high-throughput instruments that produce peta-scale datasets and giga-scale samples. In addition to the growing tasks of data storage and management, new statistical tools have been developed or specified for astronomical problems. Astronomical insights require characterizing structure in images, spectra or time series by using non-linear, often high-dimensional models.

This international online seminar series is an initiative of the International Astrostatistics Association and the IAU Astroinformatics and Astrostatistics Commission.

Upcoming talks
Past talks
Your timeSpeakerTitle
TueJan 1008:00A/Prof. Yuan-Sen TingGalaxy Merger Reconstruction with Generative Graph Neural Networks
TueDec 1316:00Dr Jessi Cisewski KeheGetting something out of nothing: topological data analysis for cosmology
TueNov 0808:00A/Prof. Aaron RobothamExploring the Limits of the Bayesian Universe: How to Tackle Breadth and Depth
TueOct 1116:00Jason McEwenBayesian model selection for likelihood-based and simulation-based inference.
TueSep 1308:00Shiro IkedaData Science and Imaging the Black Hole Shadow
TueAug 0908:00Eric ThraneThe population properties of merging compact binaries from gravitational waves.
TueJun 1416:00Roberto TrottaA general-purpose method for supervised learning under covariate shift with applications to observational cosmology
TueMay 1008:00Takahiko MatsubaraWeakly non-Gaussian formulas of cosmological random fields
TueApr 1216:00Josh SpeagleStatistical Challenges in Stellar Parameter Estimation from Theory and Data
TueMar 0808:00Renate MeyerBayesian Nonparametric Spectral Analysis for Gravitational Wave Astronomy
TueFeb 0816:00Dan Foreman-MackeyMethods for scalable probabilistic inference
TueJan 1108:00Makoto UemuraFollow-up observations of galactic transients with astroinformatics
TueDec 1416:00Dr Torsten En├člinInformation field theory, from astronomical imaging to artificial intelligence
TueNov 0908:00Prof Ilya MandelAstrostatistics in Gravitational-wave Astronomy
TueOct 1216:00Dr Jeffrey D. ScargleAdventures in Astronomical Time Series Analysis
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