Search Results - subject:"adaptive regression"

The validation of machine-learning models for the stress testing of credit risk

Jacobs, Michael <Jr.> - In: Journal of risk management in financial institutions 11 (2017/2018) 3, pp. 218-243

Persistent link: https://www.econbiz.de/10011942534

Natural gas consumption forecast with MARS and CMARS models for residential users

Özmen, Ayşe; Yılmaz, Yavuz; Weber, Gerhard-Wilhelm - In: Energy economics 70 (2018), pp. 357-381

Persistent link: https://www.econbiz.de/10011942795

Gold and crude oil prices after the great moderation

Sephton, Peter S.; Mann, Janelle - In: Energy economics 71 (2018), pp. 273-281

Persistent link: https://www.econbiz.de/10011943022

МЕТОДИКА АДАПТИВНОГО РЕГРЕССИОННОГО МОДЕЛИРОВАНИЯ ДЛЯ СИСТЕМ УПРАВЛЕНИЯ ЭФФЕКТИВНОСТЬЮ ТРУДА

ГАЛИУЛЛИН Х.Я. - In: ВЕСТНИК САРАТОВСКОГО … (2012) 3, pp. 53-55

В работе предложена продуктивная методика адекватного регрессионного моделирования для систем управления эффективностью труда на основе анализа используемых...

Persistent link: https://www.econbiz.de/10011235788

АДАПТИВНЫЕ РЕГРЕССИИ В ПРИМЕНЕНИИ К УПРАВЛЕНИЮ ЭФФЕКТИВНОСТЬЮ ТРУДА

ГАЛИУЛЛИН Х.Я. - In: ВЕСТНИК САРАТОВСКОГО … (2012) 3, pp. 214-216

В работе рассматриваются адаптивные регрессии применительно к управлению эффективностью труда, при этом выясняются возникающие трудности применения...

Persistent link: https://www.econbiz.de/10011236849

A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms' Bankruptcy

De Andres, Javier; Sánchez-Lasheras, Fernando; Lorca, Pedro - In: Journal of Accounting and Management Information … 10 (2011) 3, pp. 351-374

companies in clusters have been replaced by director vectors, we estimate a classification model through Multivariate Adaptive … Regression Splines (MARS). Our results show that the proposed hybrid approach is much more accurate for the identification of the …

Persistent link: https://www.econbiz.de/10015195990

Forecasting Tourism Demand Using Time Series, Artificial Neural Networks and Multivariate Adaptive Regression Splines:Evidence from Taiwan

Lin, Chang-Jui; Chen, Hsueh-Fang; Lee, Tian-Shyug - In: International Journal of Business Administration 2 (2011) 2, pp. 14-24

Taiwan using three commonly adopted ARIMA, artificial neural networks (ANNs), and multivariate adaptive regression splines …

Persistent link: https://www.econbiz.de/10011267051

A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy

ANDRES, Javier DE; SÁNCHEZ-LASHERAS, Fernando; LORCA, Pedro - In: Journal of Accounting and Management Information Systems 10 (2011) 3, pp. 351-374

Persistent link: https://www.econbiz.de/10010611109

The role of age‐structured education data for economic growth forecasts

Cuaresma, Jesús Crespo; Mishra, Tapas - In: Journal of Forecasting 30 (2011) 2, pp. 249-267

adaptive regression by mixing. The results indicate that forecast averaging and exploiting the demographic dimension of …

Persistent link: https://www.econbiz.de/10008838933

Bridging the gap between different statistical approaches: An integrated framework for modelling

Kuhnert, PM; Mengersen, K; Tesar, P - 2003

This paper proposes a template for modelling complex datasets that integrates traditional statistical modelling approaches with more recent advances in statistics and modelling through an exploratory framework. Our approach builds on the well-known and long standing traditional idea of 'good...

Persistent link: https://www.econbiz.de/10009448036