39 citations · 107 across the 31 of their papers we have counts for
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math.ST2019
On Testing for Parameters in Ising Models
Rajarshi Mukherjee, Gourab Ray
We consider testing for the parameters of Ferromagnetic Ising models. While testing for the presence of possibly sparse magnetizations, we provide a general lower bound of minimax…
stat.ML2019★ 5 cited
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu, Rajarshi Mukherjee, James M. Robins
For many causal effect parameters of interest, doubly robust machine learning (DRML) estimators are the state-of-the-art, incorporating the good prediction performance…