Design-based, Bayesian Causal Inference for the Social-Sciences
Scholars have recognized the benefits to science of Bayesian inference about the relative plausibility of competing hypotheses as opposed to, say, falsificationism in which one either rejects or fails to reject hypotheses in isolation. Yet inference about causal effects — at least as they are concei...
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| Language: | English |
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2021
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| Online Access: | https://doi.org/10.7916/d8-2x8p-6e09 |