Minimax Linear Estimation at a Boundary Point

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Date

18 octobre 2017

Type de document
Périmètre
Identifiant
  • 1710.06809
Collection

arXiv

Organisation

Cornell University



Sujets proches En

Pattern Model

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Wayne Yuan Gao, « Minimax Linear Estimation at a Boundary Point », arXiv - économie


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This paper characterizes the minimax linear estimator of the value of an unknown function at a boundary point of its domain in a Gaussian white noise model under the restriction that the first-order derivative of the unknown function is Lipschitz continuous (the second-order H\"{o}lder class). The result is then applied to construct the minimax optimal estimator for the regression discontinuity design model, where the parameter of interest involves function values at boundary points.

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