Modern digital gaming includes a wide range of probability driven titles where each round produces a clear multiplier or score outcome. These experiences often sit alongside arcade and instant outcome ...

The Federal Reserve should use Kalshi data to better gauge macroeconomic expectations in real-time and thus guide its decision-making, Fed researchers say.

The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF). Based upon ...

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A probability distribution of a random variable describes how the probabilities are distributed over the possible values of the random variable. A probability distribution shows the likelihood of ...

ABSTRACT: The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, ...

The Principal Component Analysis (PCA) is a procedure extensively employed in data science with diverse purposes. It has found widespread use in making sense of data collected from Molecular Dynamics ...

Abstract: Several approaches have been developed to estimate probability density functions (pdfs). The pdf has two important properties: the integration of pdf over whole sampling space is equal to 1 ...