Abstract: Time series statistical models such as autoregressive moving average (ARMA) were considered useful in describing the texture and contextual information of an remote sensing image. To ...
Abstract: This study presents a relaxation method for second-order matrix-valued multivariate polynomial inequalities(SMMPI), with a specific application to the ...
Let X1,... ,Xn be a sequence of independent random vectors, such that the first k of this sequence, X1,... ,Xk have a common multivariate normal distribution $N_{p ...
Objective: This study aimed to develop an effective support vector machine (SVM) classifier based on the multi-modal data for detecting the main brain networks involved in group separation of ...
Let $S_n$ be a sequence of partial sums of mean zero purely $d$-dimensional i.i.d. random vectors. Necessary and sufficient conditions are given for the existence of ...
Random Number Generation Project This project implements custom random number generators using Python, covering both univariate and multivariate Gaussian distributions. The key features include: ...
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