Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff, Tor D. Wager, Lisa Feldman Barrett, Shir Atzil, Timothy D. Johnson, Thomas E. Nichols, Bayesian log-Gaussian Cox process regression, ...

A general approach is derived for reducing the bias of estimators in a parameter estimation problem. The technique is particularly well suited for certain types of bias that arise in nonparametric ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

In case we know the relationship between the response and part of explanatory variables and do not know the relationship between the response and the other part of explanatory variables we use ...

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...