Comparing the Accuracy of Flexible Regression Methods

Released on by Emre Ipek
preview-18

  • Comparing the Accuracy of Flexible Regression Methods Book Detail

  • Author : Emre Ipek
  • Release Date : 2014
  • Publisher :
  • Genre :
  • Pages :
  • ISBN 13 :
  • File Size : 97,97 MB
DOWNLOAD BOOK

Comparing the Accuracy of Flexible Regression Methods by Emre Ipek PDF Summary

Book Description: This thesis compares the accuracy of different statistical and machine learning methods by means of a simulation study. The procedures that are tested can be classified in three different categories: regularized linear methods (subset selection, the lasso and ridge regression), flexible methods (smoothing splines, generalized additive models, classification and regression trees, multivariate adaptive regression splines and neural networks) and variance and bias reduction techniques (bagging and boosting). The simulation study includes five different data generating models, which vary in their characteristics concerning linearity and additivity, with every of the models being evaluated for a large and a small sample size. The results of this study do not provide an "off-the-shelf" method, which performs best in all situations. Nonetheless, it suggests that bagging is the procedure that should generally be favored, yielding the best prediction results in nine out of ten cases. However, the strength of bagging comes at a price, as it is the computationally most intensive method and leads to a loss of interpretability.

Disclaimer: www.yourbookbest.com does not own Comparing the Accuracy of Flexible Regression Methods books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

An Introduction to Statistical Learning

An Introduction to Statistical Learning

File Size : 74,74 MB
Total View : 1372 Views
DOWNLOAD

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists

File Size : 74,74 MB
Total View : 8882 Views
DOWNLOAD

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics r