 
									Bayesian Reasoning
The Grammar of Science?
From medicine and psychology to physics and computer science, researchers leverage Bayesian methods to guide experimental design, interpret results, and refine theories.
Bayesian reasoning can be viewed as the natural way to navigate a world where knowledge is rarely complete and certainty is seldom guaranteed. Whereas Aristotelian logic offers binary truths– statements are either true or false – Bayesian methods place these truths on a continuum, allowing beliefs to be continuously updated as fresh evidence comes to light. This approach to plausible reasoning can be seen as an elegant extension of classical logic under incomplete information.
As we have just passed the 250th anniversary of Laplace's seminal work, it is clear that the legacy of Bayesian reasoning extends far beyond the confines of mathematics and statistics. From scientific research to artificial intelligence, and from human cognition to everyday decision-making, the insights of Laplace and Bayes continue to shape our understanding of the world and our place within it. By embracing the principles of Bayesian reasoning, we can harness the power of probabilistic inference to navigate a world that is all, but certain.
Core Group
- Prof. Matthias Feurer (Statistics, LMU)
- Dr. Oliver Friedrich (Physics, LMU)
- Dr. Chiara Gianoli (Medical Physics, LMU)
- Prof. Daniel Gruen (Physics, LMU)
- Prof. Stephan Hartmann (Philosophy of Science, LMU)
- Dr. Sabine Hoffmann (Statistics, LMU, TBC)
- Prof. Wiktor Mlynarski (Biology, LMU)
- Dr. Florian Pargent (Psychology, LMU)
- Prof. Volker Schmid (Data Science / Bio Imaging, LMU)
- Prof. Felix Schönbrodt (Psychology, LMU)
- Dr. Borut Trpin (Philosophy of Science, LMU)
- Prof. Jochen Weller (Physics, LMU)
Advisory Board
- Prof. Thomas Augustin (Statistics, LMU)
- Prof. Bernd Bischl (Statistics, LMU)
- Prof. Ophelia Deroy (Philosophy, LMU)
- Dr. Torsten Enßlin (MPI, Physics)
- Dr. Lisa Fenk (MPI, Biological Intelligence)
- Prof. Katia Parodi (Medical Physics, LMU)
Doctoral students
- Leon Assaad (Philosophy of Science, LMU)
- Lilian Von Bressensdorf (Philosophy of Science, LMU)
- Raphael Fuchs (Philosophy of Science, LMU)
- Gaurav Narkhede (Physics, LMU)
Visiting Fellows
Events
- 
	 20 FebBayesian Methods in Practice 20 FebBayesian Methods in PracticeWorkshop organized by Dr. Andreas Döpp (CAS Young Center/LMU). 
- 
	 19 MayHow to Choose a Good Prior. Advantages and Pitfalls of Working with Bayesian Methods 19 MayHow to Choose a Good Prior. Advantages and Pitfalls of Working with Bayesian MethodsWorkshop organized by Dr. Andreas Döpp and Dr. Tom Sterkenburg (CAS Young Center/LMU). 
- 
	 26 JunBayesian Insights on Polarization and Disagreement 26 JunBayesian Insights on Polarization and DisagreementProf. Leah Henderson, Ph.D. (CAS Fellow/Groningen) | Chair: Dr. Tom Sterkenburg (CAS Young Center/LMU) 
- 
	 23 Mar—24 MarModel Choice in Bayesian Inference 23 Mar—24 MarModel Choice in Bayesian InferenceWorkshop organized by Dr. Andreas Döpp and Dr. Tom Sterkenburg (CAS Young Center/LMU). 
Academic Coordination
 
						Academic Coordinator
Postdoc Programs
 
						Academic Coordinator
Humanities, Social and Cultural Sciences
 
						 
						 
						