Discover how the ceteris paribus assumption isolates variables to clarify economic causation, simplifying complex ...

Learn about the negative correlation coefficient, its significance, comparison with other coefficients, and real-world ...

Abstract: Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR). Currently, the consistency is guaranteed by imposing constraints on coefficients ...

Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...