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- Cover
- Half-Title
- Other World Scientific Titles by the Author
- Title Page
- Copyright
- Preface
- Contents
- 1 Does Data Science Need Statistics?
- 2 Principled Statistical Inference in Data Science
- 3 Evaluating Statistical and Machine Learning Supervised Classification Methods
- 4 Diversity as a Response to User Preference Uncertainty
- 5 L-kernel Density Estimation for Bayesian Model Selection
- 6 Bayesian Numerical Methods as a Case Study for Statistical Data Science
- 7 Phylogenetic Gaussian Processes for Bat Echolocation
- 8 Reconstruction of Three-Dimensional Porous Media: Statistical or Deep Learning Approach?
- 9 Using Data-Driven Uncertainty Quantification to Support Decision Making
- 10 Blending Data Science and Statistics across Government
- 11 Dynamic Factor Modelling with Spatially Multi-scale Structures for Spatio-temporal Data
- bmatter
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