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  Statistical Rethinking (Statistical Rethinking)

Dozent/in
Dr. Alexander Pastukhov

Angaben
Sonstige Lehrveranstaltung
Rein Online
2 SWS
Zeit: Mi 14:00 - 16:00

Voraussetzungen / Organisatorisches
Some Bachelor level knowledge of statistics and R is beneficial, but no prior knowledge beyond high school algebra is required! For Ba / Ma Psychology only!

Inhalt
Do you find statistics confusing and complicated? Do you want to improve and better understand your analysis? Do you want to find out that you are already a Bayesian statistician? Then this seminar is for you.

Learning Goals: In this seminar, you will learn how to build a statistical model from the ground up with the goal of being able to build a customized model for any statistical problem and analysis. After this course you will understand that a linear regression, a T-test, an ANOVA, or an ANOCOVA all refer to the same simple linear model that you can build yourself. The aim is to make sure that you will know exactly what your analysis does and why you are doing it in this way.

Course Method: This seminar assumes no prior knowledge on your part. We will start with a basic concept of probability-as-counting and proceed to understanding what statistical models are and how to build them. Over the course of the seminar, we will gradually move forward to more advanced topics learning how to handle various types of data, identify spurious associations, infer causality, evaluate models, or perform power analysis. Forming a book club we will read Statistical Rethinking by Richard McElrath. It is an excellent introductory statistics book that explain even most intimidating topics very clearly, links all seemingly discrepant topics together, and has plenty of examples in R. We will read one chapter every week and discuss the topics and questions during the seminar.

Empfohlene Literatur
"Statistical Rethinking: A Bayesian Course with Examples in R and Stan" by Richard McElreath https://www.oreilly.com/library/view/statistical-rethinking/9781482253481/

Englischsprachige Informationen:
Title:
Statistical Rethinking

Credits: 3

Zusätzliche Informationen
Schlagwörter: statistics, bayesian statistics
Erwartete Teilnehmerzahl: 12

Institution: Lehrstuhl für Allgemeine Psychologie und Methodenlehre

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