Model Selection Techniques: An Overview

@article{Ding2018ModelST,
  title={Model Selection Techniques: An Overview},
  author={Jie Ding and Vahid Tarokh and Yuhong Yang},
  journal={IEEE Signal Processing Magazine},
  year={2018},
  volume={35},
  pages={16-34}
}
  • Jie Ding, V. Tarokh, Yuhong Yang
  • Published 2018
  • Political Science, Computer Science, Mathematics, Economics, Physics
  • IEEE Signal Processing Magazine
In the era of big data, analysts usually explore various statistical models or machine-learning methods for observed data to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed, a crucial step is to select the most appropriate model or method from a set of candidates. Model selection is a key ingredient in data analysis for reliable and reproducible statistical inference or prediction, and thus it is central to scientific studies in such… Expand
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