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www.markhw.com | ||
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www.seascapemodels.org
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svmiller.com
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| | | | | Here is a how-to on bootstrapping standard errors in R in a flexible way, using some tidyverse-friendly packages like modelr and purrr. | |
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apoorvasrinivasanblog.com
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austinrochford.com
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| | | For some time I have been interested in better understanding the horseshoe prior1 by implementing it in PyMC3. The horsehoe prior is a continuous alternative to the spike-and-slab prior for sparse Bay | ||
