Soumendra Lahiri - Higher order asymptotic properties of the Bootstrap in post model selection inference


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7 months ago by

Saturday 1st October 8:30-9:00am

modified 7 months ago • written 7 months ago by Todd Kuffner  

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7 months ago by

I note on slide 11, true parameter depends on n.  How necessary is this added complexity?

written 7 months ago by John Kolassa  
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7 months ago by

In referece to the McKeague and Qian JASA discussion paper from 2015, `An adaptive resampling test for detecting the presence of significant predictors'

I've posted it here (with the discussion and rejoinder):

http://www.math.wustl.edu/~kuffner/McKeagueQian2015.pdf

Several of this workshop's participants gave comments in the discussion (Richard Samworth, Soumendra Lahiri, Larry Brown).

It was pointed out, in particular by Belloni and Chernozhukov, that the conditions needed for pointwise model or variable selection consistency and other optimality properties of the selection procedure are causing problems for the construction of inference procedures that are uniformly valid in a region of the parameter space.

In your talk, you went from procedures having strong oracle (plus VSC), to oracle (plus VSC) to just VSC. In light of the discussion mentioned above, do you see any role of `weakening' of the oracle requirements, or weakening the selection optimality requirements, in achieving higher-order accuracy?

written 7 months ago by Todd Kuffner  
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