Establishes statistical and computational optimality thresholds for common subspace estimation and inference under varying SNR regimes, including an impossibility result for adaptive confidence intervals below strong inference SNR.
Adaptive nonparametric confidence sets , volume =
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New asymptotically pivotal and identification-robust nonparametric tests for parameters in linear IV models handling unknown heteroskedasticity.
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Statistically and Computationally Optimal Estimation and Inference of Common Subspaces
Establishes statistical and computational optimality thresholds for common subspace estimation and inference under varying SNR regimes, including an impossibility result for adaptive confidence intervals below strong inference SNR.
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Pivotal and identification-robust nonparametric inference in linear IV models
New asymptotically pivotal and identification-robust nonparametric tests for parameters in linear IV models handling unknown heteroskedasticity.