Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Random walks constitute a fundamental model in probability theory, widely employed to elucidate diffusion processes and random fluctuations in disordered systems. The Gaussian free field (GFF) ...
Abstract: This paper presents a comprehensive approach to parameter estimation in generalized Gaussian distributions (GGD) with -proper quaternion random variables, utilizing Maximum Likelihood ...
Abstract: In this paper, we propose a supervised Gaussian Process Latent Variable Model(GPLVM) based on Gaussian mixture model(GMM). In this model, we assume that latent variables satisfy the Gaussian ...
Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...
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