Jooyoung Cha

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20212026

most citedInference in high-dimensional regression models without the exact or

L^{p}

sparsity

1 citations · 1 across the 3 of their papers we have counts for

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econ.EM2021★ 1 cited

Inference in high-dimensional regression models without the exact or $L^{p}$ sparsity

Jooyoung Cha, Harold D. Chiang, Yuya Sasaki

This paper proposes a new method of inference in high-dimensional regression models and high-dimensional IV regression models. Estimation is based on a combined use of the orthogon…

Inference in high-dimensional regression models without the exact or Lp sparsity

Inference in high-dimensional regression models without the exact or $L^{p}$ sparsity