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Past events: JSM 2022, JSM 2021, JSM 2020
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 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 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 – 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
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Astronomers Speak Statistics: Statistical Challenges in the Deep Universe
Joel Leja, Pennsylvania State University -
Astronomers Speak Statistics: Statistical Challenges in the Formation of the Milky Way
Jo Bovy, University of Toronto -
Astronomers Speak Statistics: Statistical Challenges in Detecting Exoplanets
Eric Feigelson, Pennsylvania State University -
Astronomers Speak Statistics: Statistical Challenges of Supernova Cosmology
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 – 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
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Incorporating Measurement Error in Astronomical Object Classification
Hyungsuk Tak, Pennsylvania State University -
Model fitting and goodness-of-fit in astrophysics
Yang Chen, University of Michigan -
Pragmatic Approaches to Modeling Multi-Dimensional Astronomical Data
Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian -
Model Validation under Heteroskedastic Measurement Error Models
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 – 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
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Accounting for uncertainty in complex simulation-based models and emerging big data methodologies
Kyle Cranmer, University of Wisconsin-Madison -
On computationally efficient methods for testing multivariate distributions with unknown parameters
Sara Algeri, University of Minnesota -
Transforming the first eROSITA X-ray all-sky survey into astrophysics knowledge
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 – 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 – 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
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Improving Power Spectrum Estimation using Multitapering: Prospects for understanding stars, the Milky Way, and beyond
Aarya Patil, University of Toronto -
Searching for Continuous Gravitational Waves: Methods and Results
John Whelan, Rochester Institute of Technology -
Model-based clustering in the presence of measurement error
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! – 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
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Connecting Galaxy Evolution between Observation, Simulation, and Theory
Joshua Speagle, University of Toronto -
Galaxies in haystacks: astrostatistics and the Gaia mission
Pauline Barmby, Western University -
Chirps vs. hums: Statistical challenges of studying gravitational-wave signals from coalescing binary systems and rotating neutron stars
Alan Knee, University of British Columbia -
Towards Solving the Fast Radio Burst Enigma: Probability of Event Chance Coincidence for Inhomogeneous Noisy Spatial Point Processes
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 – 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
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A geometric census of giants in the Local Universe: Bayesian inference of a sparse Paretian population
Martijn Oei, Leiden University -
Constraining Galactic Accelerations with Stellar Streams
Jacob Nibauer, Princeton University
Winner of Student Paper Competition -
Detecting Ultra-Diffuse Galaxies through their Globular Clusters by Point Process Model
Dayi Li, University of Toronto -
Hierarchically modelling NGC 3147’s trio of Type Ia supernova siblings: SNe 2021hpr, 1997bq and 2008fv
Sam Ward, University of Cambridge -
TD-CARMA: Painless, accurate, and scalable estimates of gravitational-lens time delays with flexible CARMA processes
Antoine Meyer, Imperial College London