A statistical journey to DNN, the first trip: From regression to deep neural network
It has become difficult to discuss statistics without mentioning recent advancements in artificial intelligence and deep neural networks.While the progress in artificial intelligence and deep neural networks is also a result of major research achievements in statistics, modern statistics and artificial intelligence are often perceived as distinctly different approaches.The primary reason for this seems to be that the statistics education curriculum has not evolved to keep pace with the times.In this paper, to establish a framework for the expansion and development of statistics education, we examine the relationship between deep neural networks, specifically multi-layer perceptrons, and regression analysis from a statistical perspective, and explore their similarities and differences.
Authors
- Yoon Dong Lee
- Yu Jin Kim
- Hee Ju Kim
- In Jun Hwang
Institutions
- Sogang University (KR)
Publication Details
- Journal
- Korean Journal of Applied Statistics
- Published
- 2024-10-28
- DOI
- https://doi.org/10.5351/kjas.2024.37.5.541
- Citations
- 1
- Primary Topic
- Advanced Statistical Modeling Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.35