Differential Geometry and Statistics (English, Murray M.K.)
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Specifications
| Publisher | Routledge |
| Language | English |
| ISBN-13 | 9780412398605 |
| ISBN-10 | 0412398605 |
| Author | Murray M.K. |
Product Description
Here on GlowMirror, you'll find Differential Geometry and Statistics filed under Mathematics -- everything you need to know is covered below.
About the Book
This book explains why geometry should enter into parametric statistics and how the theory of asymptotic expansions involves a form of higher-order differential geometry. It gives some new explanations of geometric ideas from a first principles point of view as far as geometry is concerned.
ISBN: 9780412398605
Book Insights
What You'll Learn
- ·Rigorous mathematical concepts covered in Differential Geometry and Statistics
- ·Step-by-step proofs, theorems, and worked examples
- ·Applications and connections to other branches of mathematics
Who Should Read This
Mathematics students, researchers, and anyone who enjoys problem-solving.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
Clear Explanations of Geometry Underlying Kernels & SVMs
Extremely pleased with this book. Am reading it in conjunction with Hamel’s “Knowledge Dixcovery with Support Vector Machines”, Watanabe’s “Algebraic Geometry & Statistical Learning Theory”, and Kirby’s “Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns”. Feature selection (aka dimension reduction, feature engineering) is my particular interest at the time.
