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Found 6 papers, 0 papers with code
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
In other words, the classification error probability convergence to zero and its rate can be computed on a portion of the dataset available for training.
Structured Covariance Matrix Estimation with Missing-Data for Radar Applications via Expectation-Maximization
After a motivation of the study, the array model is specified and the problem of computing the maximum likelihood estimate of a structured covariance matrix is formulated.
Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves
The COVID-19 pandemic has, worldwide and up to December 2020, caused over 1. 7 million deaths, and put the world's most advanced healthcare systems under heavy stress.
Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data
This work focuses on the development of a new family of decision-making algorithms for adaptation and learning, which are specifically tailored to decision problems and are constructed by building up on first principles from decision theory.
Quickest Detection of COVID-19 Pandemic Onset
This paper develops an easily-implementable version of Page's CUSUM quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data statistics.
Distributed Chernoff Test: Optimal decision systems over networks
In the first case, the network nodes interact with each other through a central entity, which plays the role of a fusion center.
