May 4, 2021 · By definition, all normally distributed random variables are continuous random variables. A random variable cannot be continuous and discrete at the same time, so the definition excludes …

Aug 22, 2021 · A continuous probability distribution would have 0 as the expected frequency of any value in its range, whereas a discrete distribution takes positive expected frequency on a specific set …

Aug 26, 2019 · Still, I think writing an algorithm that goes over discrete points and adds relevantly weighted intervals to the integral sum is faster and more explicit. So I wondered if there exists a …

If both the Poisson and Binomial distribution are discrete, then why do we need two different distributions?

probability-distributions metric-spaces information-theory fisher-information Share Cite asked Sep 22, 2019 at 22:21

Jun 14, 2017 · Okay, so I have a few example that would follow Discrete random variable distributions, but I am having a hard time understanding when to use which distribution. $1.$ You are in …

Sep 2, 2015 · Why is a Dirac Delta function called continuous when it's seems to be discrete? [closed] Ask Question Asked 10 years, 5 months ago Modified 5 years, 4 months ago

Feb 23, 2018 · To me "overlap" between two distributions is a well-defined quantity (shown in link). Since BC does not compute this quantity exactly, I assumed it to be an approximation thereof. Also, …

I know that the similarity of two discrete (or continuous) distributions can be quantified by Kullback–Leibler distance. However, I wonder if it makes sense to quantify the Kullback–Leibler …

Nov 12, 2023 · Finite discrete approximation to the normal distribution Approximating a discrete probability distribution with a standard normal distribution What is the closest equivalent to a …