JSM 2021 (opens in a new tab)

Aug 7-12, 2021

AIG Community Table

The virtual table for the Astrostatistics Interest Group is located off the main JSM page, under "Conversations" and then under "Community Tables."

Astrostatistics sessions at JSM

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

INDEX

AIG meeting | Student Paper Award

Statistical Answers to Astrophysical Questions | Telling the story of our galaxy and beyond | Data-Rich Universe with Data-Driven Approaches | Statistical Challenges in Cosmology | Solar Flare Predictions I | Solar Flare Predictions II | Other events

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 Annual Meeting

Tuesday Aug 10 2021, 1:00pm-3:00pm EDT

The business meeting of the AIG was held remotely.

Click here (opens in a new tab) to see the slides.

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 #jsm2021 channel.

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Session 220142

Sunday Aug 8 2021, 3:30pm-5:20pm EDT

Statistical Answers to astrophysical questions: a vital chapter in the chase for new discoveries (opens in a new tab) -- Invited Papers

Section on Statistical Computing, Section on Physical and Engineering Sciences, Section on Nonparametric Statistics
Organizer(s): Sara Algeri, University of Minnesota
Chair(s): Sara Algeri, University of Minnesota

• 3:35 pm: Low Hanging Fruit: Common analysis problems in astronomy without statistically principled solutions (opens in a new tab)
  Vinay L. Kashyap, Center for Astrophysics | Harvard & Smithsonian
  Slides (on gDrive) (opens in a new tab) .pdf

• 3:55 pm: Hide-and-seek: Finding Earth Analags hidden in Extreme Precision Radial Velocity Spectra (opens in a new tab)
  Jessi J. Cisewski-Kehe, University of Wisconsin-Madison

• 4:15 pm: Two insights from nonparametric statistics on cosmology research (opens in a new tab)
  Yen-Chi Chen, University of Washington

• 4:35 pm: Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests (opens in a new tab)
  Mikael Kuusela, Carnegie Mellon University; Purvasha Chakravarti, Imperial College London; Larry Wasserman, Carnegie Mellon University; Jing Lei, Carnegie Mellon University

• 4:55 pm: Discussant David A van Dyk, Imperial College London

• 5:15 pm: Floor Discussion

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Session 220521

Monday Aug 9 2021, 10:00am-11:50am EDT

Statistical and Machine Learning Efforts on Solar Flare Predictions I (opens in a new tab) -- Topic Contributed Papers

Section on Physical and Engineering Sciences, Astrostatistics Special Interest Group, Section on Statistical Learning and Data Science
Organizer(s): Yang Chen, University of Michigan
Chair(s): Yang Chen, University of Michigan

• 10:05 am: The Statistical Challenges of Solar Flare Forecasting (and) the Discriminant Analysis Flare Forecasting System at NWRA (opens in a new tab) KD Leka, NorthWest Research Associates; Graham Barnes, NorthWest Research Associates

• 10:25 am: Multivariate time series dataset for space weather data analytics (opens in a new tab) Rafal Angryk, Georgia State University

• 10:45 am: Improving and Interpreting Flare Prediction with Spatial Statistics Analysis of the Magnet Field Data (opens in a new tab) Hu Sun, University of Michigan, Ann Arbor; Ward Manchester, University of Michigan, Ann Arbor; Yang Chen, University of Michigan

• 11:05 am: Solar Flare Index Prediction using Functional Additive Regression (opens in a new tab)
  Zuofeng Shang, New Jersey Institute of Technology

• 11:45 am: Floor Discussion

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Session 220569

Tuesday Aug 10 2021, 10:00am-11:50am EDT

Understanding a Data-Rich Universe with Data-Driven Approaches (opens in a new tab) -- Topic Contributed Panel

Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Astrostatistics Special Interest Group
Organizer(s): Joshua Shen Speagle, University of Toronto
Chair(s): Joshua Shen Speagle, University of Toronto

• 10:05 am: Understanding a Data-Rich Universe with Data-Driven Approaches (opens in a new tab)

• Panelists
  Boris Leistedt, Imperial College London
  Aarya Patil, University of Toronto
  Stephen Portillo, University of Washington
  Miles Cranmer, Princeton University
  Kaisey Mandel, University of Cambridge

• 11:40 am: Floor Discussion

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Session 220603

Wednesday Aug 11 2021, 3:30pm-5:20pm EDT

Statistical Challenges in Cosmology (opens in a new tab) -- Topic Contributed Papers

Section on Nonparametric Statistics, Astrostatistics Special Interest Group, Section on Statistical Learning and Data Science, Section on Physical and Engineering Sciences

Organizer(s): Collin A. Politsch, Carnegie Mellon University
Chair(s): Jessi J. Cisewski-Kehe, University of Wisconsin-Madison

• 3:35 pm: Three-dimensional cosmography of the high redshift Universe using intergalactic absorption (opens in a new tab)
  Collin A Politsch, Carnegie Mellon University; Jessi J. Cisewski-Kehe, University of Wisconsin-Madison; Rupert Croft, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University

• 3:55 pm: Stratified Learning: A general-purpose method for supervised learning under covariate shift with applications to observational cosmology (opens in a new tab)
  Maximilian Autenrieth, Imperial College London; David A van Dyk, Imperial College London; Roberto Trotta, Imperial College London, International School for Advanced Studies (Trieste); David C Stenning, Simon Fraser University

• 4:15 pm: Cosmological Parameter Inference in Photometric Surveys: An Inverse Problem (opens in a new tab)
  Markus Michael Rau, Carnegie-Mellon-University

• 4:35 pm: Learning to Predict Structure Formation in the Universe (opens in a new tab)
  Yin Li, Flatiron Institute

• 4:55 pm: Discussant
  Chad Schafer, Carnegie Mellon University

• 5:15 pm: Floor Discussion

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Session 220444

Thursday Aug 12 2021, 10:00am-11:50pm EDT

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

Information about Student Paper competition

Astrostatistics Special Interest Group
Organizer(s): Sara Algeri, University of Minnesota
Chair(s): Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian

• 10:05 am: Modeling unresolved binaries of open clusters in the color-magnitude diagram (opens in a new tab)
  Lu Li, Shanghai Astronomical Observatory, CAS
  Li, L., et al. 2020, ApJ 901, 49 (opens in a new tab)
• 10:25 am: X-Ray-to-Radio Offset Inference from Low-Count X-Ray Jets (opens in a new tab)
  Karthik Reddy Solipuram, UMBC; Markos Georganopoulos, UMBC; Eileen T. Meyer, UMBC
  Reddy K., et al., 2020, ApJS 253, 37 (opens in a new tab)
  Slides (on gDrive) (opens in a new tab) .pptx
• 10:45 am: Assessment of Supervised Machine Learning for Atmospheric Retrieval of Exoplanets (opens in a new tab)
  Matthew Conor Nixon, Institute of Astronomy, University of Cambridge; Nikku Madhusudhan, Institute of Astronomy, University of Cambridge
  Nixon & Madhusudan 2020, MNRAS 496, 269 (opens in a new tab)
  Slides (on GDrive) (opens in a new tab) .pdf
• 11:05 am: GHOST: Using Only Host Galaxy Information to Accurately Associate and Distinguish Supernovae (opens in a new tab)
  Alexander Thomas Gagliano, University of Illinois Urbana-Champaign
  Winner of Best Student Paper Competition
  Gagliano, A., et al. 2021, ApJ 908, 170 (opens in a new tab)
  Slides (on GDrive) (opens in a new tab) .key
• WITHDRAWN Reducing ground-based astrometric errors with Gaia and Gaussian processes (opens in a new tab)
  Willow Fox-Fortino, University of Delaware
  Fortino, W.F., et al. 2020, arXiv:2010.13742 (opens in a new tab)

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Session 220261

Thursday Aug 12 2021, Noon-1:50pm EDT

Astrostatistics: Telling the story of our galaxy and beyond (opens in a new tab) -- Invited Papers

SSC (Statistical Society of Canada), Astrostatistics Special Interest Group

Organizer(s): Derek Bingham, Simon Fraser University
Chair(s): Derek Bingham, Simon Fraser University

• 12:05 pm: Hierarchical Bayesian Analysis for Old Star Clusters (opens in a new tab)
  Gwendolyn Eadie, University of Toronto

• 12:30 pm: Inferring Black Hole and Neutron Star Properties Using Astronomical Time Series (opens in a new tab)
  Daniela Huppenkothen, SRON Netherlands Institute for Space Research

• 12:55 pm: Challenges for the burgeoning field of gravitational wave astronomy (opens in a new tab)
  Jess McIver, The University of British Columbia

• 1:20 pm: Hunting for Exoplanets Around Active Stars (opens in a new tab)
  David C Stenning, Simon Fraser University

• 1:45 pm: Floor Discussion

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Session 220622

Thursday Aug 12 2021, Noon-1:50pm EDT

Statistical and Machine Learning Efforts on Solar Flare Predictions II (opens in a new tab) -- Topic Contributed Papers

Section on Physical and Engineering Sciences Organizer(s): Yang Chen, University of Michigan
Chair(s): Alfred O. Hero, III, University of Michigan

• 12:05 pm: How to Solve Open Questions in Solar Event Prediction (opens in a new tab)
  Monica Bobra, Stanford University

• 12:25 pm: Identifying Flux Rope Signatures based on human and machine learning techniques (opens in a new tab)
  Teresa Nieves-chinchilla, Heliophysics Science Division of the Goddard Space Flight Center (GSFC)

• 12:45 pm: Gaussian graphical models for active region modeling and flare prediction (opens in a new tab)
  Yu Wang, University of Michigan; Alfred O. Hero, III, University of Michigan

• 1:05 pm: Discussant Graham Barnes, NorthWest Research Associates

• 1:25 pm: Discussant Yang Chen, University of Michigan

• 1:45 pm: Floor Discussion

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Other events of interest

The AIG Virtual Community Table (opens in a new tab) is accessible via the "More --> Conversations" tab at the right hand side of the JSM webpage menubar.

The following sessions feature methodological and applied work that may appeal to those working with astronomical data:

• Session 18: Uncertainty Quantification Across the Boundaries (opens in a new tab)

• Session 37: Advances in Statistical Climatology (opens in a new tab)

• Session 84: Advances in Spatio-Temporal Statistics with Applications to Environmental Data (opens in a new tab)

• Session 197: New Methods for Scalable Nonstationary Spatial Statistics (opens in a new tab)

• Session 217: High-Fidelity Gaussian Process Surrogate Modeling: Deep and Shallow (opens in a new tab)

• Session 261: Statistical Learning for Environmental Data Science (opens in a new tab)

• Session 267: Statistical Methods for Large Spatial Data (opens in a new tab)

• Session 435: Volume, Velocity, and Variety in Environmental Statistics: New Perspectives and Methods (opens in a new tab)

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