query: Convex function of independent vs. correlated random variables
positive_passages.docid: 28878
positive_passages.text: Convex function of independent vs. correlated random variables redux
negative_passages.docid: 106316
negative_passages.text: Finding a bound on the maximum of the absolute value of normal random variables
negative_passages.docid: 95928
negative_passages.text: Independence and orthogonality
negative_passages.docid: 9621
negative_passages.text: Bound for the correlation of three random variables
negative_passages.docid: 138457
negative_passages.text: Seminorms: Absolute Convexity
negative_passages.docid: 60063
negative_passages.text: Independence between random vectors
negative_passages.docid: 87126
negative_passages.text: Generate three correlated uniformly-distributed random variables
negative_passages.docid: 58627
negative_passages.text: Entropy of the multivariate Gaussian
negative_passages.docid: 30423
negative_passages.text: interior points and convexity
negative_passages.docid: 1094
negative_passages.text: Expected Value of the maximum of two exponentially distributed random variables
negative_passages.docid: 113594
negative_passages.text: Convex combination of quasiconvex functions.
negative_passages.docid: 41100
negative_passages.text: Density of sum of two independent uniform random variables on $[0,1]$
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: 50500
negative_passages.text: Deriving the joint probability density function from a given marginal density function and conditional density function
negative_passages.docid: 12004
negative_passages.text: Intuitive reason why jointly normal and uncorrelated imply independence
negative_passages.docid: 68137
negative_passages.text: Independence and conditional independence between random variables
negative_passages.docid: 154309
negative_passages.text: Probability question of independent random varaibles