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Just a layman and slow learner. Thank you for your enlightenment and patience, and for giving me the best memory in my life.


Nov
14
answered Is it true that $ \sup_x (f(x) - g(x)) \geq \sup_x f(x) - \sup_x g(x)? $
Nov
14
comment Is it true that $ \sup_x (f(x) - g(x)) \geq \sup_x f(x) - \sup_x g(x)? $
I see...........
Nov
14
asked Is it true that $ \sup_x (f(x) - g(x)) \geq \sup_x f(x) - \sup_x g(x)? $
Nov
12
awarded  Notable Question
Nov
12
awarded  Notable Question
Nov
10
asked When can we take $A$ somehow out of $\langle x,Ay\rangle$?
Nov
8
awarded  Notable Question
Nov
6
awarded  Popular Question
Nov
5
asked Can Cauchy Schwarz inequality be proven using Jensen's inequality?
Nov
5
revised Writing clear proofs involving multiple theorems and conditions
added 45 characters in body
Nov
5
asked Writing clear proofs involving multiple theorems and conditions
Nov
5
accepted Are two random vectors independent, iff every pair of components from each vector are independent?
Nov
5
accepted Independence and uncorrelatedness between two normal random vectors.
Nov
5
comment Normal random Vector
Thanks. +1...............
Nov
5
comment Does a Pareto distribution always have variance?
There is no such thing called "forever".
Nov
5
asked If $X < a$, $EX < a$?
Nov
5
comment Does a Pareto distribution always have variance?
Thanks, @Committingtoachallenge
Nov
5
awarded  Popular Question
Nov
4
comment Does a Pareto distribution always have variance?
I think Wikipedia is using a different definition: $Var X := EX^2 - (EX)^2$, which is why it says the variance doesn't exist when $EX$ is infinite. @Did.
Nov
4
comment Independence and uncorrelatedness between two normal random vectors.
Yes, there is such a theorem, i.e. mean and variance do characterize multivariate normal distribution completely. Why? and how to think about $var([X,Y])$?