PHYSTAT-Gamma 2022

Session

Statistics Session

29 Sept 2022, 14:00

Presentation materials

video_part1.mp4

video_part2.mp4

15. Session introduction

Ullrich Schwanke

29/09/2022, 14:00

9. Astrostatistics: Overview and highlights

Eric Feigelson

29/09/2022, 14:05

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...

26. Discussion

29/09/2022, 15:25

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...

27. Discussion

29/09/2022, 16:40

12. Time Series Analysis In the Dynamic Universe

Jeff Scargle

29/09/2022, 16:55

28. Discussion

29/09/2022, 17:35

16. Closing remarks

Ullrich Schwanke

29/09/2022, 17:55