However, both methods resulted in GEBV that were close to unbiased, based on the regression of TBV on GEBV being close to 1, although for HD_Mix_10, the regression was 0.89 with both BayesR and emBayesR.> Accuracies of genomic prediction with BayesR, GBLUP, FastBayesB, and emBayesR on the 630 K dairy data are in Table 8.
Mafu M, Dudley A, Goyal S, Giovannini D, McLaren M, Padgett MJ et al. Higher-dimensional orbital-angular-momentum-based quantum key distribution with mutually unbiased bases.
However, if higher-dimensional quantum states are used, this requirement can be weakened, for example, with ququarts already up to nearly 19% or 22% errors can be tolerated (again, for two or three mutually unbiased bases), respectively27, 32, 34, 35.
For qubit systems, this bound has been proven to be as low as approximately 11 or 12.6% if two or three mutually unbiased bases are taken into account, respectively31, 32, 33.
We derive triple regularity of tight spherical 4-, 5-, 7-designs, mutually unbiased bases, linked systems of symmetric designs with certain parameters.
A generalized version for a qubit based two-way quantum key distribution scheme was first proposed in the paper [Phys. Lett. A 358 (2006) 85] capitalizing on the six quantum states derived from three mutually unbiased bases.
In addition, we show that these frames form weighted complex projective 2-designs that are useful additions to maximal equiangular tight frames and maximal sets of mutually unbiased bases in quantum state tomography.
Several local codebook designs are proposed including one based on a ring and one based on mutually unbiased bases; both facilitate efficient implementation.
The increase of information after loss of old introns is surprising, because if intron neighborhood is involved in intron recognition and splicing, which is well established, one would rather expect a relaxation of constraints after intron loss, thus unbiased base composition.
We compare lifetable-based estimates (Ederer II), a new unbiased method based on inverse probability of censoring weights (Pohar Perme) and model-based estimates.
This chapter presents unbiased estimation of mean square errors of the homogeneous unbiased estimators based on various sampling designs.
