Generates random numbers using Python. Includes random integer generation with NumPy, a Gaussian generator using the Box-Muller transform (with customizable mean, standard deviation, ... This function ...

Binomial Distribution: Compute the mean and standard deviation. Generate bar charts and probability mass function (PMF) plots. Add two Binomial distributions together (if they have the same p value).

let's define the Z variable as the sum of the two previous random variables: Z = X + Y.. The gaussian distribution has average μ and standard deviation σ, while the average and standard deviation of ...

Gaussian Process: A stochastic process in which any finite collection of random variables has a joint Gaussian distribution, commonly used for non-parametric modelling.

Gaussian processes, characterised by their fully specified means and covariances, offer a flexible non-parametric approach to surrogate modelling, statistical learning, and uncertainty quantification.