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Astrostatistics Interest GroupAmerican Statistical AssociationJoin AIG

Aug 3-8, 2024

Astrostatistics sessions at JSM

Note: all times are in PDT, Pacific Daylight Time (GMT-7)

We will use an Astrostatistics Interest Group Slack channel (opens in a new tab) to ease communication between the audience and the speakers at the various sessions. In order to be added to this channel, please contact one of the office bearers or write to aigamstat @ gmail.

JSM Astrostatistics Slack Channel

To see news and announcements regarding JSM and the astrostatistics sessions, or to simply ask questions, go to this Slack workspace (opens in a new tab) and go to the #jsm2022 channel.

Session 1873

Monday Aug 5 2024, 8:30am-10:20pm PDT

Astrostatistics Interest Group: Student Paper Award (opens in a new tab) -- Topic Contributed Paper Session

Sponsor(s): Astrostatistics Interest Group, Section on Bayesian Statistical Science, SSC (Statistical Society of Canada)

Organizer(s): Joshua Speagle, University of Toronto
Chair(s): Kaisey Mandel, University of Cambridge

  • A Bayesian hierarchical model for the galaxy mass - globular cluster system mass scaling relation for low-mass galaxies Samantha Berek, University of Toronto

  • GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae
    Erin Hayes, University of Cambridge

  • Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
    Maximillian Autenrieth, Imperial Collage London

  • Stream Members Only: Data-Driven Characterization of Stellar Streams with Mixture Density Networks
    Nathanial Starkman, University of Toronto

  • Understanding the formation history of the Milky Way disk using Copulas and Elicitable Maps
    Aarya Patil, Max Planck Institute for Astronomy

Session 1528

Monday Aug 5 2024, 2:00pm-3:50pm PDT

Computationally Tractable Solutions for Signal Detection in Searches for New Physics (opens in a new tab) -- Topic Contributed Paper Session

Sponsor(s): Section on Physical and Engineering Sciences, Astrostatistics Interest Group, Section on Statistical Computing

Organizer(s): Sara Algeri, University of Minnesota
Chair(s): Sara Algeri, University of Minnesota Discussant(s): Vinay Kashyap, Center for Astrophysics | Harvard and Smithsonian

  • Stellar Flares in Hiding: using hidden Markov models to find stellar flares in time series data from TESS
    Gwendolyn Eadie, University of Toronto

  • A distribution-free approach to test astrophysical models for angular power spectra
    Xiangyu Zhang, University of Minnesota, Twin Cities

  • Decorrelated classifiers for robust signal detection at the Large Hadron Collider via Optimal Transport
    Purvasha Chakravarti, University College London

  • Statistical Methods for Interpretable and Trustworthy Solar Flare Prediction
    Hu Sun, University of Michigan, Ann Arbor

Poster Session

Wednesday Aug 7 2023, 10:30am-12:20pm PDT

Contributed Poster Presentations: Astrostatistics Interest Group (opens in a new tab) -- Contributed Posters

Sponsor(s): Astrostatistics Interest Group

Chair(s): Ryan Peterson, University of Colorado - Anschutz Medical Campus

  • Frequentist and Bayesian Approaches to Spectral Line Detection in Astronomy
    Alexander Kuhn

  • Modeling Autoregressive Conditional Regional Extremes with Applications to Solar Flare Detection Steven Moen

Session 1814

Wednesday Aug 7 2023, 10:30am-12:20pm EDT

The Promises and Perils of Long Time: Recent Advances in Astronomical Time Series (opens in a new tab) -- Topic Contributed Paper Session

Sponsor(s): Section on Physical and Engineering Sciences, Astrostatistics Interest Group, Section on Statistical Computing

Organizer(s): Aneta Siemiginowska, Harvard-Smithsonian Center for Astrophysics Chair(s): Yang Chen, University of Michigan
Discussant(s): Vinay Kashyap, Center for Astrophysics | Harvard and Smithsonian

  • Predicting a Multi-Peak Solar Cycle using a Multi-Stage Analysis
    Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian

  • Unravelling the Physics of Black Holes Using Astronomical Time Series: From Seconds to Decades
    Daniela Huppenkothen, SRON Netherlands Institute for Space Research

  • Classifying the Sky with ZTF Ashish Mahabal, Caltech

  • Discovering Anomalous Physics in Realtime V. Ashley Villar, Harvard University

  • Detecting stellar flares using conditional volatility Giovanni Motta, Columbia University

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