Search Results - subject:"multivariate Adaptive Regression splines"

Profiling Poverty with Multivariate Adaptive Regression Splines

Barrios, Erniel B.; Mina, Christian D. - Philippine Institute for Development Studies (PIDS), … - 2009

, Multivariate Adaptive Regression Splines (MARS) is used in identifying household poverty correlates in the Philippines. Models …

Persistent link: https://www.econbiz.de/10008556982

Forecasting daily and monthly exchange rates with machine learning techniques

Plakandaras, Vasilios; Papadimitriou, Theophilos; … - In: Journal of forecasting 34 (2015) 7, pp. 560-573

Persistent link: https://www.econbiz.de/10011390457

Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach

Koc, Elcin; Iyigun, Cem - In: Journal of Global Optimization 60 (2014) 1, pp. 79-102

In high dimensional data modeling, Multivariate Adaptive Regression Splines (MARS) is a popular nonparametric …

Persistent link: https://www.econbiz.de/10010937784

Efficient adaptive regression spline algorithms based on mapping approach with a case study on finance

Koc, Elcin; Iyigun, Cem; Batmaz, İnci; Weber, … - In: Journal of Global Optimization 60 (2014) 1, pp. 103-120

Multivariate adaptive regression splines (MARS) has become a popular data mining (DM) tool due to its flexible model …

Persistent link: https://www.econbiz.de/10010994193

The information content of equity block trades on the Warsaw Stock Exchange : an estimation of shares' returns with the usage of simple linear regression and multivariate adaptive ...

Kurek, Bartosz - In: Journal of forecasting 33 (2014) 6, pp. 433-454

Persistent link: https://www.econbiz.de/10010425516

The non-linear influences of social capital on knowledge transfer in international alliances : an analysis using multivariate adaptive regression splines

Lee, Yi-chih; Wu, Wei-li - In: International journal of technology, policy and … 14 (2014) 1, pp. 29-43

Persistent link: https://www.econbiz.de/10010388792

Predicting bid prices in construction projects using non-parametric statistical models

Guikema, Seth (contributor) - 2007

multivariate adaptive regression splines are used.The results obtained from both the techniques are compared, and it is found …

Persistent link: https://www.econbiz.de/10009465197

A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model

Pilla, Venkata L.; Rosenberger, Jay M.; Chen, Victoria; … - In: European Journal of Operational Research 216 (2012) 1, pp. 162-171

adaptive regression splines cutting plane method has been developed. The results obtained from our approach are compared to … problems are solved using the L-shaped method. Due to the slow convergence of the L-shaped method, a novel multivariate …

Persistent link: https://www.econbiz.de/10010574130

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