Purpose: This research aims to analyse price movements in the oil market stimulated by extreme events such as oil platform explosions, geopolitical events, and financial crises and to understand the ...
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Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...
Fragmentation of young massive clusters in binary components: an application of Griddy Gibbs Sampler
The study of the process of hierarchical fragmentation of molecular clouds within Young Massive Clusters required modeling the Initial Mass Function by considering both binary and single-star ...
Abstract: In this letter we suggest two statistical hypothesis tests for the regression function of binary classification based on conditional kernel mean embeddings. The regression function is a ...
Abstract: The Vlasov-Maxwell equations describe the coupled evolution of collisionless plasma particle distribution function (PDF) and the electromagnetic field. The system is exceedingly multiscale ...
Point process provides a mathematical framework for characterizing neuronal spiking activities. Classical point process methods often focus on the conditional intensity function, which describes the ...
Jitter is a critical factor to the performance of highspeed signal links. Jitter can be modeled as a random process. Both the probability density function (PDF) and the spectral characteristics of the ...
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