Personal webpage of Dr. Gunther Witzel

Teaching

Spring/Summer 2022 IMPRS blackboard lecture:
Principles and tools of statistics, data analysis and machine learning: I. Statistics
 2013 - present
 Supervision of undergraduate and graduate research projects
2009  Teaching Assistant: Mathematical introduction for scientists 
2008 to 2012  Lab Course Assistant Thermodynamics, University of Cologne

Principles and tools of statistics

Textbooks

Textbooks used for this lecture:

Title: Stochastics : Introduction to Probability and Statistics
Author: Hans-Otto Georgii
E-Book (available for MPIfR-Staff and other MPG-institutes)
Two copies in print will be available in the MPIfR library.

Title: A Student’s Guide to Bayesian Statistics.
Author: Ben Lambert
online material:
Student resources (containing links to "Author videos" and "Answer to problem sets" for single book-chapters)
Three copies in print will be available in the MPIfR library.

Textbooks available through the Max Planck Digital Library:
MPDL 
List of Textbooks on Bayesian statitstics

Related books in the MPIfR library:

MPIfR internal link
Author:    Bailer-Jones, Coryn A. L.
Title:    Practical bayesian inference : a primer for physical scientists.
Year:    2017
Shelfmark Print-Book in MPIfR-Libary:  Ma19/BAI
E-Book (available for MPIfR-Staff and other MPG-institutes)

MPIfR internal link
Authors: Sivia, Devinderjit ; Skilling, John
Title: Data Analysis : A Bayesian Tutorial, Second Edition
Year: 2006
Shelfmark: Ma19/SIV

Author:    Bolstad, William M.; Curran, James M.
Title:    Introduction to Bayesian statistics.
Year:    2017, third edition
Shelfmark Print-Book in MPIfR-Library:  Ma19/BOL
E-Book (available for MPIfR-Staff and other MPG-institutes)

MPIfR internal link
Author: Jaynes, E. T.; Bretthorst, G. Larry (Editor)
Title: Probability theory : the logic of science.
Year: 2003, 23rd printing 2019
Shelfmark:  Ma19/JAY

Slides

Recordings

Problems and homework