Personal webpage of Dr. Gunther Witzel
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 |
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
Code
Problems and homework
created with
Website Builder Software .