Search Results - subject:"Support Vector Regression"

A practical support vector regression algorithm and kernel function for attritional general insurance loss estimation

Kwasa, Shadrack; Jones, Daniel - In: Annals of actuarial science : publ. by the Institute of … 15 (2021) 2, pp. 394-418

Persistent link: https://www.econbiz.de/10012593586

Price and volatility forecasting in electricity with support vector regression and random forest

Kara, Mahmut; Atici, Kazim Baris; Ulucan, Aydin - In: Applied operations research and financial modelling in …, (pp. 101-124). 2021

Persistent link: https://www.econbiz.de/10012660732

A novel LASSO - TLBO - SVR hybrid model for an efficient portfolio construction

Mishra, Sasmita; Padhy, Sudarsan; Misra, S. N.; Miśra, … - In: The North American journal of economics and finance : a … 55 (2021), pp. 1-13

Persistent link: https://www.econbiz.de/10012668046

Predicting stock price using two-stage machine learning techniques

Zhang, Jun; Li, Lan; Chen, Wei - In: Computational economics 57 (2021) 4, pp. 1237-1261

Persistent link: https://www.econbiz.de/10012543291

Out-of-sample realized volatility forecasting : does the support vector regression compete combination methods

Zhang, Gaoxun; Qiao, Gaoxiu - In: Applied economics 53 (2021) 19, pp. 2192-2205

Persistent link: https://www.econbiz.de/10012501131

A cost-effective approach to portfolio construction with range-based risk measures

Pun, Chi Seng; Wang, Lei - In: Quantitative finance 21 (2021) 3, pp. 431-447

Persistent link: https://www.econbiz.de/10012483832

A hybrid time series model based on AR-EMD and volatility for medical data forecasting: A case study in the emergency department

Wei, Liang-Ying; Huang, Deng-Yang; Ho, Shun-Chuan; Lin, … - In: International Journal of Management, Economics and … 6 (2017) Special Issue, pp. 166-184

performance. For solving the above problems, this paper develops a hybrid time series support vector regression (SVR) model based …

Persistent link: https://www.econbiz.de/10011781172

Data mining techniques for forecasting the medical resource consumption of patients with diabetic nephropathy

Lee, Tian-Shyug; Dai, Wensheng; Huang, Bo-Lin; Lu, Chi-Jie - In: International Journal of Management, Economics and … 6 (2017) Special Issue, pp. 293-306

, stepwise regression, multivariate adaptive regression splines (MARS), support vector regression, and twostage model (T-SVR). We …

Persistent link: https://www.econbiz.de/10011781180

A hybrid time series model based on AR-EMD and volatility for medical data forecasting : a case study in the emergency department

Wei, Liang-ying; Huang, Deng-yang; Ho, Shun Chuan; Lin, … - In: International journal of management, economics and … 6 (2017), pp. 166-184

performance. For solving the above problems, this paper develops a hybrid time series support vector regression (SVR) model based …

Persistent link: https://www.econbiz.de/10011779772

Data mining techniques for forecasting the medical resource consumption of patients with diabetic nephropathy

Lee, Tian-shyug; Dai, Wensheng; Huang, Bo-lin; Lu, Chi-jie - In: International journal of management, economics and … 6 (2017), pp. 293-306

, stepwise regression, multivariate adaptive regression splines (MARS), support vector regression, and twostage model (T-SVR). We …

Persistent link: https://www.econbiz.de/10011779860

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