In this paper, we propose a functional linear regression model in the space of probability density functions. We treat a cross-sectional distribution of individual earnings as an infinite dimensional ...

In contrast, the machine learning approach of a linear regression model is applied to get the best SPI scale out of 1-, 3-, 6-, 9-, and 12-month scales. In both the statistical method (KS & AD test ) ...

Image cropping aims at locating a candidate (rectangle region) with the highest aesthetic quality in professional photography. One solution of the previous methods is to generate a large number of ...

G. A. F. Seber and A. J. Lee, “Linear Regression Analysis,” 2nd Edition, Wiley Series in Probability and Mathematical Statistics, 2003. has been cited by the following article: TITLE: Robust Linear ...

So far in our discussion of linear regression, we have seen that the estimated regression coefficients and predicted values can be difficult to interpret 1.When the predictors are correlated 2 ...

Markov Chains can be thought of as graphs with probabilities that indicate how likely it is that we will move from one point in the chain, a “state”, to another state. Markov chains are used to ...

Examples of such models include the normal distribution model and the linear regression model. Nonparametric statistics sometimes use data that is ordinal, meaning it relies not on numbers but on ...