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Astro 497
    Syllabus
    Lessons
  • Week 1
  • Week 2
  • Week 3
  • Week 4
  • Week 5
  • Week 6
  • Week 7
  • Week 8
  • Week 9
  • Week 10
  • Week 11
  • Week 12
  • Week 13
  • Week 14
  • Week 15
  • Week 16
  • Labs
    Class Project
    Tips
    Resources

Week 5

Bayesian Inference & Rossiter-McLaughlin Effect

Model Building III: Bayesian Inference & Non-linear Models

  • Suggested readings for Monday's class:

    • What is Bayesian Statistics?

  • Slides from class

  • Read before Wednesday's class:

    • How to Use Turing

    • Bayesian Linear Regression (if it's helpful for you; stop before example, as we'll an astronomical example instead)

Lab 5: Bayesin Inference & Non-linear Models

Exoplanet Characterization: Rossiter McLaughlin Effect

  • Before Friday's class, read "Statistical methods for exoplanet detection with radial velocities": Sec.1-3.1, 4-4.2, 7.1

  • Very optional supplement in case anyone is interested

  • Notebook from class

Penn State — Astronomy & Astrophysics — Institute for Computational & Data Sciences
Center for Exoplanets & Habitable Worlds — Center for Astrostatistics

CC BY-SA 4.0 Eric Ford