frob_norm_sq_debiased: Debiased Frobenius Norm Squared Var-Cov matrix

In OptimalRerandExpDesigns: Optimal Rerandomization Experimental Designs

Description

Compute debiased Frobenius Norm of matrix Sigmahat (Appendix 5.8). Note that for S <= 2, it returns the naive estimate.

Usage

frob_norm_sq_debiased(
  Sigmahat,
  s,
  n,
  frob_norm_sq_bias_correction_min_samples = 10
)

Arguments

Sigmahat	The var-cov matrix of interest
s	The number of vectors Sigmahat was generated from
n	The length of each vector
frob_norm_sq_bias_correction_min_samples	This estimate suffers from high variance when there are not enough samples. Thus, we only implement the correction beginning at this number of samples otherwise we return the naive estimate. Default is 10.

Value

The unbiased estimate of the Frobenius Norm of a variance-covariance matrix squared.

Author(s)

Adam Kapelner

OptimalRerandExpDesigns documentation built on Jan. 28, 2021, 5:06 p.m.