Email the Author
You can use this page to email Kalyan Chakravarthy Kodela about Statistical Manifolds and Stochastic Dynamics: Bridging Theoretical Constructs with High-Dimensional Applications.
About the Book
This book explores the rich intersection of statistical manifolds, information geometry, and stochastic dynamics with applications to high-dimensional data analysis. Bridging abstract mathematical theory with concrete computational approaches, it provides both rigorous foundations and practical implementations for modern statistical challenges.
Key features include:
- Measure-theoretic treatments of probability and statistical inference
- Geometric perspectives on statistical models and their properties
- Advanced computational methods for complex statistical problems
- Applications across machine learning, biostatistics, econometrics and other domains
Written for researchers and practitioners in statistics, applied mathematics, and data science, the book progresses from fundamental principles to frontier research questions. Each chapter combines theoretical depth with real-world applications, making advanced statistical theory accessible and relevant for solving today's complex data challenges.
About the Author
Kalyan is a software engineer and interdisciplinary researcher bridging advanced mathematics, physics, and computer science to solve complex real-world challenges. His work integrates machine learning, scientific computing, quantum machine learning, computational physics, dynamical systems, artificial intelligence, and data science, transforming theoretical concepts into practical solutions across multiple domains.