Michael Betancourt is a major force in applied Bayesian statistics. Over the years, he has written a huge number of case studies and tutorials relating to practical aspects of Bayesian modeling using Stan. He has also lectured at our summer school on statistics, which is held annually at Potsdam. He also has a large collection of publicly available talks that are worth watching.
We have collaborated with Michael to produce two really important papers for cognitive scientists:
1. Daniel J. Schad, Michael Betancourt, and Shravan Vasishth. Toward a principled Bayesian workflow: A tutorial for cognitive science. Psychological Methods, 2020. Download here: https://arxiv.org/abs/1904.12765.
2. Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, and Shravan Vasishth. Workflow Techniques for the Robust Use of Bayes Factors. Available from arXiv:2103.08744v2, 2021. Download here: https://arxiv.org/abs/2103.08744.
He has a podcast, called Betancourting disaster. Michael recently interviewed me, and we talked about the challenges associated with modeling cognitive processes (e.g., reading processes and their interaction with sentence comprehension). You can listen to the whole thing here (it's about an hour-long conversation):
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