Added in version 7.2.2 LOGEST is based on the same calculations as LINEST, including how it handles collinearity for multiple regression analysis. However, the function returns statistics to a curve ...

Based on the optimal combined graph, a harmonic function is applied to solving the semi-supervised regression problem. Experimental results on typical artificial function and UCI real datasets show ...

In nonparametric multivariate regression analysis, we seek methods to reduce the dimensionality of the regression function to bypass the difficulty caused by the curse of dimensionality. The original ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 62, No. 4 (2000), pp. 711-730 (20 pages) The counting process with the Cox-type intensity function has been commonly ...

The ridge regression, as a biased estimation method for analyzing collinear data, can be considered as the fundamental basis of all machine learning algorithms. This paper presents a novel deep ridge ...

Bayesian probability of agreement for comparing survival or reliability functions with parametric lifetime regression models Citation: Stevens, N. T. , Lu, L. , Anderson-Cook, C. M. , & Rigdon, S. .

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...