International Journal of Scientific and Research Publications

IJSRP, Volume 10, Issue 10, October 2020 Edition [ISSN 2250-3153]


Continuum Regression Modeling with LASSO to Estimate Rainfall
      Arwini Arisandi, Aji Hamim Wigena, Agus Mohamad Soleh
Abstract: Statistical downscaling (SDS) is a method to relate functionally global scale to local scale climate data. The global scale data are from the Global Climate Models (GCM) output while the local data are from a rainfall station. Generally, the GCM output data are available in the form of contiguous grids which commonly causes the multicollinearity problem. The problem can be overcome by a method such as principal component analysis (PCA), LASSO, forward selection. A SDS modeling can use the continuum regression with PCA.

Reference this Research Paper (copy & paste below code):

Arwini Arisandi, Aji Hamim Wigena, Agus Mohamad Soleh (2020); Continuum Regression Modeling with LASSO to Estimate Rainfall; International Journal of Scientific and Research Publications (IJSRP) 10(10) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.10.2020.p10651
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