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Mar 9, 2018 · For a Bernoulli distribution, $\mu_X = p$. I can easily derive this from the general equation for mean of a discrete random variable: $$ \mu_X=\sum_{i=1}^kx_iPr(X=x) $$ $$ \mu_X=1(p)+0(1-p)=p $$ I know that the variance of the Bernoulli distribution is supposed to be $\sigma_x^2=p(1-p)$.
Mar 31, 2019 · Unbiased estimator of Bernoulli distribution. Ask Question Asked 5 years, 7 months ago.
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A Bernoulli random variable has two possible outcomes: $0$ or $1$. A binomial distribution is the sum of independent and identically distributed Bernoulli random variables.
Mar 14, 2021 · However, the following statement makes me confusing: When Yi are iid draws from a Bernoulli distribution with success probability p, the variance of $\bar Y$ should be p * (1-p)/n, and SE[$\bar Y$] is $\sqrt{\frac{\bar Y * (1-\bar Y) }{ n}}$. I am not sure, why when computing SE, we don't use p, but use $\bar Y$ instead.
Jan 14, 2018 · The KL divergence between two Bernoulli distributions is: $$ KL(p||q)_{Ber} = p\\log\\ \\frac{p}{q}\\ +\\ (1-p)\\log\\ \\frac{1-p}{1-q} $$ According to my ...
Apr 13, 2019 · Bernoulli distribution conditional distribution. Ask Question Asked 5 years, 7 months ago. Modified 5 ...
Use this tag in reference to questions concerning random variables following the Bernoulli distribution, including calculating quantities such as expectation, standard deviation, moments, as well as real world applications.
Aug 6, 2019 · Distribution of product of bernoulli random variable and poisson random variable. 1. Calculate the density ...
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