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PHYSTAT-Gamma 2022

27–30 Sept 2022
Europe/Zurich timezone

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Session

Statistics Session

29 Sept 2022, 14:00

Presentation materials

video_part1.mp4
video_part2.mp4
  1. 15. Session introduction
    Ullrich Schwanke
    29/09/2022, 14:00
  2. 9. Astrostatistics: Overview and highlights
    Eric Feigelson
    29/09/2022, 14:05
  3. 10. Chi-square, K-S, and bootstrap: Fitting astrophysical models to data
    Jogesh Babu
    29/09/2022, 14:45

    Complicated models from astrophysical theory are often fit to observational data. There are several issues with the classical procedures used in astronomy literature. First, `chi-square minimization' is commonly used for fitting functions often disregard mathematical assumptions. Second, the Kolmogorov-Smirnov (K-S) test for goodness-of-fit is misused in astronomy when the model parameters...

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  4. 26. Discussion
    29/09/2022, 15:25
  5. 11. Overview of Bayesian methods for multiwavelength gamma-ray astronomy
    Tom Loredo
    29/09/2022, 16:00

    Bayesian data analysis (BDA) gets its name from Bayes's theorem, stating that posterior probabilities for hypotheses are proportional to the product of their prior probabilities and likelihoods (predictive probabilities for the observed data based on each hypothesis). It's tempting to view the Bayesian approach as merely using priors to "modulate" the familiar frequentist maximum likelihood...

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  6. 27. Discussion
    29/09/2022, 16:40
  7. 12. Time Series Analysis In the Dynamic Universe
    Jeff Scargle
    29/09/2022, 16:55
  8. 28. Discussion
    29/09/2022, 17:35
  9. 16. Closing remarks
    Ullrich Schwanke
    29/09/2022, 17:55
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