Number-Theoretic Methods in Statistics: Theory and Applications

Key Points

• Statistical inference benefits from integrating number-theoretic methods, addressing unknown underlying quantities.
• The analysis explores how random vector variables and stochastic processes can effectively model uncertainty.
• Developing tools based on these number-theoretic methods enhances the robustness of probability distributions.
• Further exploration can improve applications in various statistical fields and highlight potential new techniques.

Abstract