BNQD ow: A Bayesian non-parametric quasi-experimental design library using GP ow
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Issue Date
2020-07-01
Language
en
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Abstract
In this thesis we investigate the performance of a re-implementation of BNQD: a library
for Bayesian Non-parametric Quasi-experimental Designs. BNQD functions as a Bayesian
framework for quasi-experiments, and is capable of inferring causality under di erent assumptions
than the ones required by a randomised controlled trial. We will compare the
performance of this new implementation to the previous one, as well as examine the e ectiveness
of the features that were previously unavailable.
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Faculteit der Sociale Wetenschappen