Paper · arXiv
Neural Networks as Linear Regression: An Introduction for Statisticians
Neural networks are a commonly used prediction tool in computer science and statistics. However, the barrier to entry of this interesting field remains high, particularly for classical statisticians trained in a frequentist perspective. In this letter, we demystify neural networks by describing networks that approximate a linear regression and describe common customizations that provide a foundation for further study.
| Authors | Abigail Loe, Susan Murray, Zhenke Wu |
|---|---|
| Primary category | stat.ML |
| Published | 22 June 2026 |
| Last updated at source | 22 June 2026 |
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