A non-Bayesian derivation of the predictive estimate of a multivariate normal density function is given. The estimate is obtained as best invariant estimate in terms of a goodness-of-fit criterion ...

Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.” ...

A confidence interval, in statistics, refers to the probability that a population parameter will fall between two set values.

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...

In the context of a specific demodulation algorithm employing three-channel inputs, we analytically compute a probability density function of the demodulator output noise, given an arbitrary ...

We apply the multilevel Monte Carlo (MLMC) method with the finite-difference time-domain method (FDTD) to estimate the probability density function (PDF) and the cumulative distribution function (CDF) ...

We implement the neuromorphic radar system through a printed-circuit board (PCB) prototype and carry out simulations for the IC version. Our experiments verify NeuroRadar’s ability to empower resource ...

How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...

Risk assessment plays a central role in the primary prevention of cardiovascular disease. The 2017 High Blood Pressure Clinical Practice Guideline incorporated quantitative risk assessment for the ...

Return on investment (ROI) is a performance measure used to evaluate the efficiency of an investment or compare the efficiency of several investments.