
BOOKS - Weak Dependence

Weak Dependence
Author: Jerome Dedecker
Format: PDF
File size: PDF 5.5 MB
Language: English

Format: PDF
File size: PDF 5.5 MB
Language: English

Long Description of the Plot: In the book "Weak Dependence," the authors explore the concept of weak dependence, a statistical concept that has gained significant attention in recent years due to its ability to capture the behavior of real-world phenomena that cannot be captured by traditional methods. The book delves into the need to study and understand the process of technology evolution, particularly in the context of developing a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. The book begins by discussing the importance of time series and random fields in modern statistical techniques, highlighting their essential role in applications where randomness plays an important role. However, physical constraints often limit the ability to model these processes, leading to a need for rigorous limit theorems to validate the main statistics. The authors then introduce the notion of weak dependence, which is based on the idea that some random processes are weakly dependent if they have similar distributions for small time intervals. This concept is not new, but it has been studied only recently due to its significance in modern statistics and its ability to capture real-world phenomena.
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