JSM 2023 (opens in a new tab)

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Aug 5-10, 2023

Astrostatistics sessions at JSM

Note: all times are in EDT, Eastern Daylight Time (GMT+4)

INDEX

AIG meeting | Student Paper Award

IOL: Astronomers Speak Statistics | Modeling Techniques for Astrostatistical Datasets | Uncertainty Quantification in Astronomy | Contributed Poster Presentations: Astrostatistics Interest Group | Pulling Signal out of Noise for Data-Driven Discoveries in Astronomy | True North Strong and…Amazing at Astrostatistics!

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.

AIG Business Meeting

Monday Aug 7 2023, 4:00pm-5:30pm EDT

The annual AIG Business Meeting will be held at Delta Hotels by Marriott at 4 PM in the D - Distillery Room. Details for joining remotely will be provided to AIG members.

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.

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Session 0179

Monday Aug 7 2023, 8:30am-10:20pm EDT

IOL: Astronomers Speak Statistics (opens in a new tab) -- Introductory Overview Lectures

Sponsor(s): JSM Partner Societies, Section on Bayesian Statistical Science, Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science

Organizer(s): David Hunter, Pennsylvania State University and Hyungsuk Tak, Pennsylvania State University
Chair(s): Jogesh Babu, Pennsylvania State University

• Astronomers Speak Statistics: Statistical Challenges in the Deep Universe (opens in a new tab)
  Joel Leja, Pennsylvania State University

• Astronomers Speak Statistics: Statistical Challenges in the Formation of the Milky Way (opens in a new tab)
  Jo Bovy, University of Toronto

• Astronomers Speak Statistics: Statistical Challenges in Detecting Exoplanets (opens in a new tab)
  Eric Feigelson, Pennsylvania State University

• Astronomers Speak Statistics: Statistical Challenges of Supernova Cosmology (opens in a new tab)
  Kaisey Mandel, University of Cambridge

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Session 1557

Monday Aug 7 2023, 8:30am-10:20pm EDT

Modeling Techniques for Astrostatistical Datasets (opens in a new tab) -- Topic Contributed Paper Session

Sponsor(s): International Indian Statistical Association, Section on Physical and Engineering Sciences, Section on Statistics and the Environment

Organizer(s): Jonathan Williams, North Carolina State University
Chair(s): Sujit Ghosh, North Carolina State University
Discussant(s): Jonathan Williams, North Carolina State University

• Incorporating Measurement Error in Astronomical Object Classification (opens in a new tab)
  Hyungsuk Tak, Pennsylvania State University

• Model fitting and goodness-of-fit in astrophysics (opens in a new tab)
  Yang Chen, University of Michigan

• Pragmatic Approaches to Modeling Multi-Dimensional Astronomical Data (opens in a new tab)
  Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian

• Model Validation under Heteroskedastic Measurement Error Models (opens in a new tab)
  Naomi Giertych, North Carolina State University

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Session 1866

Monday Aug 7 2023, 2:00pm-3:50pm EDT

Uncertainty Quantification in Astronomy (opens in a new tab) -- Topic Contributed Paper Session

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

Organizer(s): Gwendolyn Eadie, University of Toronto
Chair(s): Aneta Siemiginowska, Center for Astrophysics | Harvard & Smithsonian

Discussant(s): David van Dyk, Imperial College London

• Accounting for uncertainty in complex simulation-based models and emerging big data methodologies (opens in a new tab)
  Kyle Cranmer, University of Wisconsin-Madison

• On computationally efficient methods for testing multivariate distributions with unknown parameters (opens in a new tab)
  Sara Algeri, University of Minnesota

• Transforming the first eROSITA X-ray all-sky survey into astrophysics knowledge (opens in a new tab)
  Johannes Buchner, Max Planck Institute for Extraterrestrial Physics

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Poster Session

Monday Aug 7 2023, 2:00pm-3:50pm EDT

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

Sponsor(s): Astrostatistics Interest Group

Chair(s): Jacob Bien, University of Southern California

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Session 1851

Tuesday Aug 8 2023, 10:30am-12:20pm EDT

Pulling Signal out of Noise for Data-Driven Discoveries in Astronomy (opens in a new tab) -- Topic Contributed Paper Session

Sponsor(s): Section on Statistical Learning and Data Science, Section on Bayesian Statistical Science, Section on Physical and Engineering Sciences

Organizer(s): Hyungsuk Tak, Pennsylvania State University
Chair(s): Sara Algeri, University of Minnesota
Discussant(s): Aneta Siemiginowska, Center for Astrophysics | Harvard & Smithsonian

• Improving Power Spectrum Estimation using Multitapering: Prospects for understanding stars, the Milky Way, and beyond (opens in a new tab)
  Aarya Patil, University of Toronto

• Searching for Continuous Gravitational Waves: Methods and Results (opens in a new tab)
  John Whelan, Rochester Institute of Technology

• Model-based clustering in the presence of measurement error (opens in a new tab)
  Ranjan Maitra, Iowa State University

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Session 1348

Tuesday Aug 8 2023, 10:30am-12:20pm EDT

True North Strong and…Amazing at Astrostatistics! (opens in a new tab) -- Invited Paper Session

Sponsor(s): SSC (Statistical Society of Canada), Canadian Statistical Sciences Institute, Section on Physical and Engineering Sciences

Organizer(s): David Stenning, Simon Fraser University
Chair(s): Gwendolyn Eadie, University of Toronto
Discussant(s): David Stenning, Simon Fraser University

• Connecting Galaxy Evolution between Observation, Simulation, and Theory (opens in a new tab)
  Joshua Speagle, University of Toronto

• Galaxies in haystacks: astrostatistics and the Gaia mission (opens in a new tab)
  Pauline Barmby, Western University

• Chirps vs. hums: Statistical challenges of studying gravitational-wave signals from coalescing binary systems and rotating neutron stars (opens in a new tab)
  Alan Knee, University of British Columbia

• Towards Solving the Fast Radio Burst Enigma: Probability of Event Chance Coincidence for Inhomogeneous Noisy Spatial Point Processes (opens in a new tab)
  Amanda Cook, University of Toronto

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Session 1664

Wednesday Aug 9, 10:30am-12:20pm EDT

Best Student-led Astrostatistics Papers of 2022 (opens in a new tab) -- Topic Contributed Paper Session

Information about Student Paper competition

Sponsor(s): Astrostatistics Special Interest Group, Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science

Organizer(s): Hyungsuk Tak, Pennsylvania State University
Chair(s): Derek Bingham, Simon Fraser University

• A geometric census of giants in the Local Universe: Bayesian inference of a sparse Paretian population (opens in a new tab)
  Martijn Oei, Leiden University

• Constraining Galactic Accelerations with Stellar Streams (opens in a new tab)
  Jacob Nibauer, Princeton University
  Winner of Student Paper Competition

• Detecting Ultra-Diffuse Galaxies through their Globular Clusters by Point Process Model (opens in a new tab)
  Dayi Li, University of Toronto

• Hierarchically modelling NGC 3147's trio of Type Ia supernova siblings: SNe 2021hpr, 1997bq and 2008fv (opens in a new tab)
  Sam Ward, University of Cambridge

• TD-CARMA: Painless, accurate, and scalable estimates of gravitational-lens time delays with flexible CARMA processes (opens in a new tab)
  Antoine Meyer, Imperial College London

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