query: symmetry of two IID random variables
positive_passages.docid: 148811
positive_passages.text: Probability of two IID random variables
negative_passages.docid: 127903
negative_passages.text: Why can 2 uncorrelated random variables be dependent?
negative_passages.docid: 20875
negative_passages.text: Is the product of two Gaussian random variables also a Gaussian?
negative_passages.docid: 61758
negative_passages.text: Limit question on independent random variables (Exercise 4.2.4 from Grimmett and Stirzaker)
negative_passages.docid: 137103
negative_passages.text: Random Gaussian Variables
negative_passages.docid: 98179
negative_passages.text: if 2 random variables have exactly same mean and variance
negative_passages.docid: 11535
negative_passages.text: Square root of an inverse gamma distributed random variable
negative_passages.docid: 149358
negative_passages.text: If $Y_1, \ldots, Y_n$ are iid from $Pois(\lambda)$, how to show that the sample mean is a complete sufficient statistic?
negative_passages.docid: 48811
negative_passages.text: Characteristic function of product of normal random variables
negative_passages.docid: 40501
negative_passages.text: Why are these two random variables identically distributed?
negative_passages.docid: 31133
negative_passages.text: Functions of Independent Random Variables
negative_passages.docid: 68137
negative_passages.text: Independence and conditional independence between random variables
negative_passages.docid: 86729
negative_passages.text: Are squares of independent random variables independent?
negative_passages.docid: 75030
negative_passages.text: Law of large numbers for non-identically distributed Bernoulli random variables
negative_passages.docid: 121422
negative_passages.text: Independence between a constant random variable and another random variable.
negative_passages.docid: 9621
negative_passages.text: Bound for the correlation of three random variables
negative_passages.docid: 57062
negative_passages.text: The distribution of the linear combination of Gamma random variables