Advanced Statistical Computing in the Age of AI
Advanced Statistical Computing in the Age of AI
Advanced Statistical Computing in the Age of AI
Copyright
Welcome
Preface
Conventions
1
Introduction
Numerical Foundations
2
Numerical Stability and Conditioning
3
Numerical Linear Algebra in Depth
Optimization and Estimation
4
Advanced Optimization
5
EM and Its Extensions
Monte Carlo and Bayesian Computation
6
Monte Carlo Methods in Depth
7
MCMC in Depth
8
Modern Bayesian Computation
Scaling and Modeling
9
High-Performance and Distributed Computing
10
High-Dimensional and Sparse Methods
11
Machine Learning for Biostatistics
Software Engineering and Communication
12
Software Engineering for Statisticians
13
Reproducible Computational Environments
14
Advanced Interactive Visualization and Dashboards
References
Appendices
Credits
Colophon
Advanced Statistical Computing in the Age of AI
Code
A graduate textbook in biostatistics.
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