Gaussian processes offer a versatile framework to model and analyse continuous random phenomena, making them particularly useful in quantifying the probability of ruin in financial and insurance ...
All sorts of physical processes in this analog world exhibit some degree of randomness. Think of noise, for example. Many noisy processes are described by Gaussian probability distributions. We should ...
A new Swinburne study is addressing a core paradox: if quantum computing is solving problems that cannot be checked by conventional methods, how can we be certain the results are correct? Quantum ...
Although the literature about measuring probability of default (PD) in retail credit portfolios is vast, the same thing cannot be said about measuring exposure at default (EAD). This paper aims to ...
This article discusses the contribution of counting statistics to the uncertainty in identifying the net peak area, and in controlling detection limits. The method is applicable to spectrometers that ...
This is a preview. Log in through your library . Abstract We give moment approximations to the density function of the wave-length, i. e., the time between "a randomly chosen" local maximum with ...
This is a preview. Log in through your library . Abstract For a broad class of Gaussian disordered systems at low temperature, we show that the Gibbs measure is asymptotically localized in small ...
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