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Upcoming Talks

SFB 823 Vortrag

Latency bias in nonparametric permutation tests for electrophysiological EEG/MEG data

Speaker: Markus Junghöfer (Institut für Biomagnetismus und Biosignalanalyse, Westfälische Wilhelms-Universität Münster)

When and where?

Tuesday, March 10, 2020, 11.00 am, M / E21


SFB 823 Vortrag

Physical Deposition Methods of Films and Coatings

Speaker: Lech Pawlowski (Institut de recherche sur les céramiques IRCER, University of Limoges, France)

When and where?

Tuesday, March 17, 2020, 5.00 pm, M / E21


SFB 823 Vortrag

Forecasting Consumer Confidence in Germany via Twitter Data

Speaker: Deniz Karaman Örsal (Fakultät für Wirtschafts- und Sozialwissenschaften, Volkswirtschaftslehre, Universität Hamburg)

When and where?

Tuesday, April 28, 2020, 4.30 pm, M / E21


SFB 876 Vortrag

Title: Towards a Principled Bayesian Workflow

Speaker: Paul-Christian Buerkner, Aalto University, Finland

When: 2020-05-14 16:15

Where: OH14, E023

Probabilistic programming languages such as Stan, which can be used to specify and fit Bayesian models, have revolutionized the practical application of Bayesian statistics. They are an integral part of Bayesian data analysis and provide the basis for obtaining reliable and valid inference. However, they are not sufficient by themselves. Instead, they have to be combined with substantive statistical and subject matter knowledge, expertise in programming and data analysis, as well as critical thinking about the decisions made in the process. A principled Bayesian workflow for data analysis consists of several steps from the design of the study, gathering of the data, model building, estimation, and validation, to the final conclusions about the effects under study. I want to present a concept for an interactive Bayesian workflow which helps users by diagnosing problems and giving recommendations for sensible next steps. This concept gives rise to a lot of interesting research questions we want to investigate in the upcoming years.