Tutorial in Bayesian Statistics Part 2: Parameter estimation and practice

2020.06.24
Presenter: Gianni Galbiati
Part 2 covered Bayesian parameter estimation with a practical emphasis. The first section briefly covered parameter estimation as a statistical paradigm for scientific inference and software options for doing it in Python. The second section was a hands-on tutorial using PyMC3 to complete analyses in worksheets.
Prerequisites: basic probability theory, basic frequentist statistics, and if you like to participate in the hands-on tutorial, Python and Git basics
Slides: www.cns.nyu.ed...
Slides with notes: docs.google.co...
Code example (presidential heights): colab.research...
Code example (Aspen’s change detection task): colab.research...