StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
The library detects abnormal surges in trade flow — sudden acceleration of arrivals, buy/sell imbalance shifts, and structural regime changes — from a raw stream of aggregated trades. The direction of ...
Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...
In the last article we looked at the assessment of a potential inferential. Here we cover techniques for monitoring its performance and automatically updating it to maintain its accuracy WHILE we may ...
To improve patient safety, surgeons can continually monitor the surgical outcomes of their patients. To this end, they can use statistical process control tools, which primarily originated in the ...
Tropical forests are currently under pressure from increasing threats. These threats are mostly related to human activities. Earth observations (EO) are increasingly used for monitoring forest cover, ...
Abstract: The problem of quickest change detection (QCD) in autoregressive (AR) models is investigated. A system is being monitored with sequentially observed samples. At some unknown time, a ...
Abstract: Classical quickest change detection algorithms require modeling pre-change and post-change distributions. Such an approach may not be feasible for various machine learning models because of ...
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