query: Normally its easy to solving mean and covariance of Bernoulli Distribution but how we do when its Bernoulli Distribution vector in below Questions?
positive_passages.docid: 17747
positive_passages.text: What is the variance of the weighted mixture of two gaussians?
negative_passages.docid: 118221
negative_passages.text: How to generate correlated test data that has Bernoulli, categorical, and continuous vectors (in R)?
negative_passages.docid: 155900
negative_passages.text: Distribution of X+Y of a bivariate normally distributed (X,Y)
negative_passages.docid: 9934
negative_passages.text: $P(X>0,Y>0)$ for a bivariate normal distribution with correlation $\rho$
negative_passages.docid: 78740
negative_passages.text: Covariance of binary and continuous variable
negative_passages.docid: 67856
negative_passages.text: Normal distribution and logarithms
negative_passages.docid: 140650
negative_passages.text: Find the distribution of sum and product of standard normal random variables
negative_passages.docid: 19103
negative_passages.text: Expected value of Bernoulli random variables
negative_passages.docid: 29565
negative_passages.text: Conditional Expectation of Bernoulli R.V.
negative_passages.docid: 138325
negative_passages.text: Equivalence of two formulas for variance and covariance
negative_passages.docid: 53569
negative_passages.text: What is the difference between covariance and correlation?
negative_passages.docid: 99156
negative_passages.text: Simple scheme to sample from the Bernoulli distribution
negative_passages.docid: 51682
negative_passages.text: Covariance matrix explanation
negative_passages.docid: 127410
negative_passages.text: notation of distribution
negative_passages.docid: 138798
negative_passages.text: Independence and conditional distribution
negative_passages.docid: 78299
negative_passages.text: Find probability using distribution function method
negative_passages.docid: 55784
negative_passages.text: Question on Application of Mean Value Theorem