Detecting regime shifts and structural breaks in time-series data using statistical change-point methods and machine-learning baselines. Structural breaks are abrupt changes in the data-generating ...

Designing an EWMA Chart for Slow Drifts in Python This is the step-by-step recipe for building an exponentially weighted moving average (EWMA) chart that reliably catches a slow drift in the process ...

Abstract: Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part ...

Abstract: A vector-valued model-based cumulative sum (CUSUM) procedure is proposed for identifying falsified sensor measurements. To fulfill a desired detection performance, given the system dynamics, ...

Welcome to the documentation for the internetarchive Python library. This tool provides both a command-line interface (CLI) and a Python API for interacting with archive.org, allowing you to search, ...