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Deep-Learning-Assisted Statistical Methods with Examples in R

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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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Autor Principal: Zhan, Tianyu
Formato: Online
Idioma:inglés
Publicado: CRC Press 2026
Subjects:
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 liña:https://library.oapen.org/handle/20.500.12657/111085
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