Algebraic and Geometric Methods in Statistics

This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and how they benefit our understanding of statistical models, in particular, exponential models. This book presents a new way of approaching classical statistical problems and raises scientific questions that would never have been considered without the interaction of these two disciplines. Beginning with a brief introduction to each area, using simple illustrative examples, the book then proceeds with a collection of reviews and some new results written by leading researchers in their respective fields. Part III dwells in both classical and quantum information geometry, containing surveys of key results and new material. Finally, Part IV provides examples of the interplay between algebraic statistics and information geometry. Computer code and proofs are also available online, where key examples are developed in further detail.

  • Chapters written by leading researchers in the field
  • Includes introductory and review chapters, and a glossary of terms from algebraic geometry
  • Online material develops in detail some key examples, and provides computer code, technical material and detailed proofs

Algebraic and Geometric Methods in Statistics