Hands on Software Seminar | Lennart Schüler | 2021.11.25 | 1/2 Presentation
Channel: CASUS.science
Date: 30/11/2021

TITLE: An introduction to probabilistic programming with Python by Lennart Schüler, CASUS

ABSTRACT
Bayesian statistics are conceptually easy to understand, but very difficult to apply correctly. Probabilistic programming arose from this contrast and its aim is to make statistical inference as easy as “pressing the inference button”. The inference steps are thus clearly separated from the model creation, which makes it possible for the user to concentrate on modelling, evaluation, and interpretation. In this seminar, you will learn the basics of probabilistic programming using PyMC3, which is based on Python and has an easy to read syntax.

LICENSE:
CC BY-SA 4.0

CASUS – Center for Advanced Systems Understanding
Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR)
Untermarkt 20
D-02826 Görlitz