Apr 17, 2023 · More generally, why is the binomial distribution's variance the product of the number of trials, probability of success, and probability of failure, i.e. $\mathrm {Var} [X] = npq$?

Jul 26, 2021 · This number p in Bern (p) is called the parameter of the distribution; it determines which specific Bernoulli distribution we have. Thus there is not just one Bernoulli distribution, but rather a …

Apr 23, 2017 · Maximum Likelihood Estimation for Bernoulli distribution Ask Question Asked 8 years, 8 months ago Modified 6 years ago

Apr 14, 2021 · 1 In comparing bernoulli_distribution 's default constructor (50/50 chance of true/false) and uniform_int_distribution{0, 1} (uniform likely chance of 0 or 1) I find that bernoulli_distribution s …

Oct 30, 2017 · 2 A Binomially distributed random variable has two parameters n and p, and can be thought of as the distribution of the number of heads obtained when flipping a biased coin n times, …

Confidence interval for Bernoulli sampling Ask Question Asked 15 years, 1 month ago Modified 3 years, 6 months ago

Jan 17, 2021 · And I don't agree with that, that is just MLE for Bernoulli in N trials, not for Binomial. But I can't find correct Likelihood function and MLE of Binomial distribution online.

Oct 21, 2020 · What is the median of Bernoulli distribution? Ask Question Asked 5 years, 2 months ago Modified 5 years, 2 months ago

Jul 18, 2018 · 8 Well, Bernoulli is a probability distribution. Specifically, torch.distributions.Bernoulli() samples from the distribution and returns a binary value (i.e. either 0 or 1). Here, it returns 1 with …

Oct 20, 2022 · It is valid to approximate a Poisson distribution with a binomial distribution (a sum of Bernoulli distributed variables) but the other way around is more common.