Deep-Learning-Assisted Statistical Methods with Examples in R

Deep-Learning-Assisted Statistical Methods with Examples in R

Information technology
Deep learning
Artificial intelligence

This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation, and other aspects. It uniquely demonstrates leveraging deep learning to improve traditional statistical approaches, showcasing their superior performance in practical applications. Each topic includes essential background, clear method explanations, and detailed R code demonstrations through case studies. This allows readers to directly apply these methods to their own challenges and easily adapt the underlying principles to related problems. This book delves into statistical inference, introducing advanced strategies for hypothesis testing and point estimation.

Tianyu Zhan

https://library.oapen.org/bitstream/handle/20.500.12657/111085/9781040600719.pdf;jsessionid=63D2871576426FB17D5B6E72FD35DD05?sequence=1

CRC Press

2026

Mustabsyirah

Creative Commons

PDF

English

Textbooks