An Extension of the Quadratic Error Function for Learning Imprecise Data in Multivariate Nonlinear Regression
Multivariate noises in the learning process are most of the time supposed to follow a standard multivariate normal distribution. This hypothesis does not often hold in many real-world situations. In this paper, we consider an approach based on multivariate skew-normal distribution. It allows for a m...
Main Authors: | Castro Gbêmêmali Hounmenou, Kossi Essona Gneyou, Romain Glélé Kakaï |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2020/9187503 |
Similar Items
-
Ridge regression, a remedy for imprecise estimate
by: Alagheband, B. M. D.
Published: (1981) -
On an asymmetric extension of multivariate
Archimedean copulas based on quadratic
form
by: Di Bernardino Elena, et al.
Published: (2016-12-01) -
Multivariate Quadratic Nonlinear Regression Model of the Ultimate Pull-Out Load of Electrohydraulic Expansion Joints Based on Response Surface Methodology
by: Da Cai, et al.
Published: (2021-06-01) -
Reporting error in the use of multivariable logistic regression
by: Rajeev Kumar
Published: (2015-01-01) -
The algorithms for processing of imprecise temporal data
by: Aleksandr V. Flegontov, et al.
Published: (2016-11-01)