Tag Archives: practical

Bayesian Statistics: Why and How

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Bayesian statistics is what all the cool kids are talking about these days. Upon closer inspection, this does not come as a surprise. In contrast to classical statistics, Bayesian inference is principled, coherent, unbiased, and addresses an important question in science: in which of my hypothesis should I believe in, and how strongly, given the collected data?  Continue reading

Fabian Dablander

Fabian Dablander is currently finishing his thesis in cognitive science at the University of Tübingen and Daimler Research & Development. He is interested in Bayesian statistics, innovative ways of data collection, open science, effective altruism, and pushing psychological science forward. You can find him on Twitter @fdabl.

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