Deep-Learning-Assisted Statistical Methods with Examples in R

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 pract...

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Detalles Bibliográficos

Autor principal:	Zhan, Tianyu
Formato:	Online
Lenguaje:	inglés
Publicado:	CRC Press 2026
Materias:	Statistical inference Adaptive clinical trials Interpretable models Computational statistics Integrity protection Scientific data analysis Deep learning for statistical inference thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems
Acceso en línea:	https://library.oapen.org/handle/20.500.12657/111085
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