Viewing profile — shurtler

Fantastic! Any tips on tools one can use to parse PDF including their structure? Much appreciated.

Businesses face a lot of uncertainty. They may employ data scientists to inform decisions. But who's to tell that the data analyses actually make sense? How would a business know? …

You will benefit from reading Pearl/Glymour/Jewell: Causal Inference in Statistics. A Primer (The contrast to Imbens and Rubin is crazy)

This is one the most thought-provoking things I've read on markets and economic policy in a very long while.

Note there's an exploding literature that reads these models as causal models: http://ftp.cs.ucla.edu/pub/stat_ser/r350.pdf

Central proposal on p. 98: "What if, instead, knowledge was unbundled from the start and embedded in how researchers actually develop their knowledge? This is essentially what happ…

"I really like penalized maximum likelihood estimation (which is really empirical Bayes) but once we have a penalized model all of our frequentist inferential framework fails us. N…

Hey, the key assumption (the "identification" assumption) is in 2.4 of the paper you referred to. I do not have time to go through the notation, but it seems to be like a fairly st…