A multivariate technique named Canonical Concordance Correlation Analysis (CCCA) is introduced. In contrast to the classical (CCA) which based on maximization of Pearson’s correlation coefficient between linear combinations two sets variables, CCCA maximizes Lin’s concordance accounts not just for maximum but also closeness aggregates’ mean values and their variances. While CCA employs centered...

We consider the problem of linear regression where the l2 norm loss (i.e., the usual least squares loss) is replaced by the lp norm. We show how to solve such problems up to machine precision in O∗(n|1/2−1/p|) (dense) matrix-vector products and O∗(1) matrix inversions, or alternatively in O∗(n|1/2−1/p|) calls to a (sparse) linear system solver. This improves the state of the art for any p 6∈ {1...

Dynamic light scattering (DLS) is extensively used for measuring macromolecule diffusion coefficients. Contrary to classical techniques based on macroscopic concentration gradients, DLS probes microscopic fluctuations in concentration. DLS accuracy and its concordance with macroscopic-gradient techniques remains an outstanding important issue. We measured lysozyme diffusion coefficients in aque...

BACKGROUND/AIMS Non-concordance has often been reported as a major contributor to the failure of occlusion therapy for amblyopia. In other fields of medicine the extent of a patient's understanding in areas of the disease and treatment has been shown to have both a direct and indirect effect on subsequent concordance. The aims of this study were to determine the extent of parental non-concordan...

An algorithm is presented for calculating concordance-discordance totals in a time of order N logN , where N is the number of observations, using a balanced binary search tree. These totals can be used to calculate jackknife estimates and confidence limits in the same time order for a very wide range of rank statistics, including Kendall’s tau, Somers’ D, Harrell’s c, the area under the receive...