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.

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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
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article

A statistical journey to DNN, the first trip: From regression to deep neural network

Yoon Dong Lee, Yu Jin Kim, Hee Ju Kim, In Jun Hwang
1 citations
Korean Journal of Applied Statistics
Advanced Statistical Modeling Techniques
0.35
article

A statistical journey to DNN, the first trip: From regression to deep neural network

Yoon Dong Lee, Yu Jin Kim, Hee Ju Kim, In Jun Hwang
article en
1 citations

Abstract

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.

Korean Journal of Applied StatisticsVol. 37(5)
Sogang University (KR)
Openalex Percentile: Top 37%
Advanced Statistical Modeling Techniques
0.35
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