INTRODUCTION AND APPLICATION OF CHANGE POINT ANALYSIS IN ANALYTICS SPACE
Keywords:
Change Point Analysis, Time Series, Statistical Methods, Probability Distribution, Data Analytics, Anomaly Detection, Control ChartsAbstract
Change Point Analysis (CPA) is a statistical technique used to identify points where the probability distribution of a time series changes. This article provides a detailed examination of CPA, discussing its methodologies, applications, and implications in various fields. We explore the challenges faced in detecting change points and present solutions that have been developed to address these issues. Additionally, we highlight the impact and future scope of CPA in the analytics space.
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Copyright (c) 2021 Ankit Bansal (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
