Results 271 to 280 of about 428,031 (297)
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IEEE Transactions on Evolutionary Computation, 2009
This paper presents a novel approach to generate data-driven regression models that not only give reliable prediction of the observed data but also have smoother response surfaces and extra generalization capabilities with respect to extrapolation. These models are obtained as solutions of a genetic programming (GP) process, where selection is guided ...
Vladislavleva, Ekaterina +2 more
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This paper presents a novel approach to generate data-driven regression models that not only give reliable prediction of the observed data but also have smoother response surfaces and extra generalization capabilities with respect to extrapolation. These models are obtained as solutions of a genetic programming (GP) process, where selection is guided ...
Vladislavleva, Ekaterina +2 more
openaire +3 more sources
Consistency of M-estimates in general nonlinear regression models
2009Nonlinear regression model with continuous time and weak dependent or long-range dependent stationary noise is considered. Strong consistency suffient conditions of M-estimates of regression parameters are obtained.
Ivanov, A.V., Orlovsky, I.V.
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Nonlinear Regression of Ink Spreading Using a General Ellipse Model
2022 22nd International Conference on Control, Automation and Systems (ICCAS), 2022H. Kim, J. Kim, M. Kwon
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General Nonlinear Function-on-Function Regression via Functional Universal Approximation
Journal of Computational and Graphical Statistics, 2023Ruiyan Luo, Xin Qi
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Biometrika, 1983
SUMMARY The class of generalized linear models is extended to allow for correlated observations, nonlinear models and error distributions not of the exponential family form. The extended class of models include a number of important examples, particularly of the composite transformational type.
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SUMMARY The class of generalized linear models is extended to allow for correlated observations, nonlinear models and error distributions not of the exponential family form. The extended class of models include a number of important examples, particularly of the composite transformational type.
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Deep Residual Learning for Nonlinear Regression
Entropy, 2020Dongwei Chen, Fei Hu, Tiantian Yang
exaly
Testing a Nonlinear Regression Specification: A Nonregular Case
Journal of the American Statistical Association, 1977A Ronald Gallant
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Model Averaging for Nonlinear Regression Models
Journal of Business and Economic Statistics, 2022Yang Feng, Qingfeng Liu
exaly
Generalization Evaluation of a Nonlinear Auto-Regressive Neural Network for PON Technologies
2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), 2023Enzo Gomes Pinto Perin da Cruz +6 more
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An interior point algorithm for nonlinear quantile regression
Journal of Econometrics, 1996Roger Koenker
exaly