**Definition** We say a discrete random variable $$\mathbb{X}$$ is a Bernoulli random variable with parameter $$p$$, or has a Bernoulli distribution with parameter ...
def perform_bernoulli_trials(n, p): """Perform n Bernoulli trials with success probability p and return number of successes.""" # Initialize number of successes: n_success n_success = 0 # Perform ...
A new class of distributions over (0,1) is obtained by considering geometrically weighted sum of independent identically distributed (i.i.d.) Bernoulli random variables. An expression for the ...
Abstract: This study considers a problem of finding an optimal approximation of conditional information measures, like the conditional entropy, of a Bernoulli random variable (RV) given an auxiliary ...
Abstract: In this paper, the state estimation problem with non-stationary heavy-tailed measurement noise (NHMN) is considered. The mixture of two Gaussian distributions, with a Bernoulli random ...
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