Abstract: Over the past few decades, numerous adaptive Kalman filters (AKFs) have been proposed. However, achieving online estimation with both high estimation accuracy and fast convergence speed is ...

Understanding how functional connectivity between cortical neurons varies with spatial distance is crucial for characterizing large-scale neural dynamics. However, inferring these spatial patterns is ...

Abstract: The optimal receiver operating characteristic (ROC) curve, giving the maximum probability of detection as a function of the probability of false alarm, is a key information-theoretic ...

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

way of simulation that these are actually where the likelihood is maximum (show it on a graph). Possible we can use a slider to also indicate the dependence on sample size. Also we could make some ...

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The Bayesian approach to statistical inference and other data analysis tasks gets its name from Bayes’s theorem (BT). BT specifies that a posterior probability for a hypothesis concerning a data ...

Mr. Musk, a megadonor, had flummoxed some Trump advisers by previously declining to write a “super max” check directly to the former president’s campaign. By Theodore Schleifer Elon Musk may have ...