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The MARS algorithm in the spatial framework : non-linearities and spatial effects in hedonic models

López, Fernando A.; Kholodilin, Konstantin - 2020

Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric technique that automatizes the …

Persistent link: https://www.econbiz.de/10012146937

Determination of the sensitivity of stock index to macroeconomic and psychological factors by MARS method

Yıldız, Münevvere; Özdemir, Letife - In: Insurance and risk management for disruptions in …, (pp. 81-105). 2022

Persistent link: https://www.econbiz.de/10013191571

Using multivariate adaptive regression splining (MARS) to identify factors affecting the performance of dock-based bikesharing : the case of Chicago's Divvy system

Smith, C. Scott; Schwieterman, Joseph P. - In: Research in transportation economics 89 (2021), pp. 1-12

Persistent link: https://www.econbiz.de/10013274352

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

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

Influencing factors of net interest margin in Turkish banking sector

Yuksel, Serhat; Zengin, Sinemis - In: International journal of economics and financial issues … 7 (2017) 1, pp. 178-191

Persistent link: https://www.econbiz.de/10011784470

Tree-based approaches for understanding growth patterns in the European regions

Annoni, Paola; Rubianes, Angél Catalina - In: REGION 3 (2016) 2, pp. 23-45

-parametric, decision-tree techniques, randomized Classication and Regression Tree and Multivariate Adaptive Regression Splines, are …

Persistent link: https://www.econbiz.de/10011617520

Tree-based approaches for understanding growth patterns in the European regions

Annoni, Paola; Rubianes, Angél Catalina - In: Region : the journal of ERSA 3 (2016) 2, pp. 23-45

-parametric, decision-tree techniques, randomized Classication and Regression Tree and Multivariate Adaptive Regression Splines, are …

Persistent link: https://www.econbiz.de/10011614178

Prediction of unemployment rates with time series and machine learning techniques

Katris, Christos - In: Computational economics 55 (2020) 2, pp. 673-706

Persistent link: https://www.econbiz.de/10012223659

Mean reversion in CO2 emissions : the need for structural change

Sephton, Peter S. - In: Environmental and resource economics 75 (2020) 4, pp. 953-975

Persistent link: https://www.econbiz.de/10012224380

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