What Is the Normal Distribution? The normal distribution formula is based on two simple parameters— mean and standard deviation —that quantify the characteristics of a given dataset.

ABSTRACT: The Owen’s T function is presented in four new ways, one of them as a series similar to the Euler’s arctangent series divided by 2π, which is its majorant series. All possibilities enable ...

ABSTRACT: The Owen’s T function is presented in four new ways, one of them as a series similar to the Euler’s arctangent series divided by 2π, which is its majorant series. All possibilities enable ...

Statistical Analysis of the Multichannel Wiener Filter Using a Bivariate Normal Distribution for Sample Covariance Matrices Abstract: This paper studies the statistical performance of the multichannel ...

Nonparametric method for multivariate density estimation using neural networks In this paper, a parameter-free method is proposed to determine the probability density function of multi-dimensional ...

Empirical evidence has proved the inadequacy of the multi-normal distribution, traditionally adopted to model the financial asset returns distribution. Copula functions can be employed in a flexible ...

Normal distribution is a continuous probability distribution wherein values lie in a symmetrical fashion mostly situated around the mean.

For here we want to compute P (Y|Z, X) which is a Bivariate Gaussian Distribution, but the loss function does not look like a negative log likelihood of Gaussian to me. First, the variable ohr is very ...