query: Why does elimination method for random variables work?
positive_passages.docid: 145118
positive_passages.text: How does the proof of Rejection Sampling make sense?
negative_passages.docid: 58810
negative_passages.text: I've heard that ratios or inverses of random variables often are problematic, in not having expectations. Why is that?
negative_passages.docid: 17951
negative_passages.text: Acceptance-Rejection Method Acceptance Probability Proof
negative_passages.docid: 122719
negative_passages.text: Show that random variables $X$ and $Y$ are not independent, but nevertheless Cov$[X,Y] = 0$
negative_passages.docid: 101458
negative_passages.text: Negative binomial distribution - sum of two random variables
negative_passages.docid: 81420
negative_passages.text: Linear transformation of a binomial random variable?
negative_passages.docid: 154842
negative_passages.text: Zero variance Random variables
negative_passages.docid: 125848
negative_passages.text: Intuition behind Probability Integral Transformation
negative_passages.docid: 49368
negative_passages.text: Why does factoring eliminate a hole in the limit?
negative_passages.docid: 98315
negative_passages.text: How do "Dummy Variables" work?
negative_passages.docid: 154986
negative_passages.text: Formal definition of a random variable
negative_passages.docid: 57451
negative_passages.text: Independent variable = Random variable?
negative_passages.docid: 43288
negative_passages.text: How do I best simulate an arbitrary univariate random variate using its probability function?
negative_passages.docid: 33896
negative_passages.text: How does partial fraction decomposition avoid division by zero?
negative_passages.docid: 59106
negative_passages.text: Components of an n-dimensional random variable from a uniform distribution are independent
negative_passages.docid: 11091
negative_passages.text: About free and bound variables
negative_passages.docid: 152642
negative_passages.text: Expectation of Minimum of $n$ i.i.d. uniform random variables.