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Developing a neuro-flexible mechanism of bankruptcy risk estimation based on conditional parameters

Sinkovskyi, Artem; Shulakov, Volodymyr - In: Technology audit and production reserves 4 (2024) 2/78, pp. 20-23

Persistent link: https://www.econbiz.de/10015078644

Estimating city-level poverty rate based on e-commerce data with machine learning

Wijaya, Dedy Rahman; Paramita, Ni Luh Putu Satyaning Pradnya - In: Electronic commerce research 22 (2022) 1, pp. 195-221

Persistent link: https://www.econbiz.de/10013169448

Estimating the size of branch-and-bound trees

Hendel, Gregor Christian; Anderson, Daniel; Le Bodic, Pierre - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 2, pp. 934-952

Persistent link: https://www.econbiz.de/10013361382

Modelling Issues in Kernel Ridge Regression

Exterkate, Peter - 2011

Kernel ridge regression is gaining popularity as a data-rich nonlinear forecasting tool, which is applicable in many different contexts. This paper investigates the influence of the choice of kernel and the setting of tuning parameters on forecast accuracy. We review several popular kernels,...

Persistent link: https://www.econbiz.de/10013119940

Stock price prediction using multi-scale nonlinear ensemble of deep learning and evolutionary weighted support vector regression

Wang, Jujie; Zhuang, Zhenzhen; Gao, Dongming; Li, Yang; … - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 27 (2023) 3, pp. 397-421

Persistent link: https://www.econbiz.de/10014372898

Forecasting Value-at-Risk using nonlinear regression quantiles and the intra-day range

Chen, Cathy W. S.; Gerlach, Richard; Hwang, Bruce B. K.; … - In: International journal of forecasting 28 (2012) 3, pp. 557-574

Persistent link: https://www.econbiz.de/10009658352

Nonlinear forecasting with many predictors using Kernel ridge regression

Exterkate, Peter; Groenen, Patrick J. F.; Heij, Christiaan - 2011

high-dimensional space, where estimation of the predictive regression model is based on a shrinkage estimator to avoid …

Persistent link: https://www.econbiz.de/10011382698

Nonlinear forecasting with many predictors using kernel ridge regression

Exterkate, Peter; Groenen, Patrick J. F.; Heij, Christiaan - In: International journal of forecasting 32 (2016) 3, pp. 736-753

Persistent link: https://www.econbiz.de/10011621797

Forecasting in big data environments : an adaptable and automated shrinkage estimation of neural networks (AAShNet)

Habibnia, Ali; Maasoumi, Esfandiar - In: Journal of quantitative economics 19 (2021), pp. 363-381

Persistent link: https://www.econbiz.de/10013441731

Nonlinear econometric models with machine learning

Chan, Felix; Harris, Mark N.; Singh, Ranjodh B.; Yeo, … - In: Econometrics with Machine Learning, (pp. 41-78). 2022

Persistent link: https://www.econbiz.de/10013447818

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