I enjoyed reading this paper, and I would like to add the following. The formulas for the best
linear predictors obtained with the Pearson correlation and the concordance correlation …

This study considers the statistical estimation of relations presented by implicit functions.
Such structures define mutual interconnections of variables rather than outcome variable …

Bottai et al.(2022) examine the best predictors that maximize two correlation criteria and in
particular examine predictors that are restricted to have the same mean and variance as …

We study the estimation of the concordance correlation coefficient (CCC) under the
multiplicative distortion measurement errors. These unobservable variables are distorted in …

A multivariate technique named Canonical Concordance Correlation Analysis (CCCA) is
introduced. In contrast to the classical Canonical Correlation Analysis (CCA) which is based …

This paper examines distributional properties and predictive performance of the estimated
maximum agreement linear predictor (MALP) introduced in Bottai, Kim, Lieberman, Luta …

In Statistics, the ability to predict the value of response variable Y from predictor variables
X1, X2,..., Xp is of central importance. The least squares predictor is a well-known approach …

Course Home Page – STOR 881 Object Oriented Data Analysis – Spring 2024 – JS Marron (Steve
Marron) JS Marron (Steve Marron) Amos Hawley Professor of Statistics and Operations Research …