Necessary conditions for defining correlation Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Given $Z_1$ and $Z_2$ independent normal variables, find a pair $X_1,X_2$ with correlation $p$Necessary and sufficient conditions for a matrix to be a valid correlation matrix.What conditions are needed for a uniform bound on the deviation of a random variable from its expectation?almost sure convergence for non-measurable functionsHow to generate correlated random numbers with specific distributions?Define random variables for a given correlation coefficientRandom vector and the correlationJoint Random Variables Probability — Covariance and CorrelationInvariance of correlation towards changes in mean and varianceDefining a “dependence structure” for random variables
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Necessary conditions for defining correlation
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Given $Z_1$ and $Z_2$ independent normal variables, find a pair $X_1,X_2$ with correlation $p$Necessary and sufficient conditions for a matrix to be a valid correlation matrix.What conditions are needed for a uniform bound on the deviation of a random variable from its expectation?almost sure convergence for non-measurable functionsHow to generate correlated random numbers with specific distributions?Define random variables for a given correlation coefficientRandom vector and the correlationJoint Random Variables Probability — Covariance and CorrelationInvariance of correlation towards changes in mean and varianceDefining a “dependence structure” for random variables
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Suppose I have a probability space on which I define the space of all random variables. On that given space I then define function F which takes two random variables as arguments and returns a real number between -1 and 1. Let F have such property: [F(X,Y) = 1 iff X = aY + b (almost everywhere) for a>0] and [F(X,Y) = -1 iff X = aY + b (almost everywhere) for a<0]. Have I necessarily defined the normal correlation or there are some other functions with the same properties (if so, what conditions should I add in order to get the normal correlation if it is even possible to get the correlation moving in that direction)?
probability-theory random-variables correlation
$endgroup$
add a comment |
$begingroup$
Suppose I have a probability space on which I define the space of all random variables. On that given space I then define function F which takes two random variables as arguments and returns a real number between -1 and 1. Let F have such property: [F(X,Y) = 1 iff X = aY + b (almost everywhere) for a>0] and [F(X,Y) = -1 iff X = aY + b (almost everywhere) for a<0]. Have I necessarily defined the normal correlation or there are some other functions with the same properties (if so, what conditions should I add in order to get the normal correlation if it is even possible to get the correlation moving in that direction)?
probability-theory random-variables correlation
$endgroup$
add a comment |
$begingroup$
Suppose I have a probability space on which I define the space of all random variables. On that given space I then define function F which takes two random variables as arguments and returns a real number between -1 and 1. Let F have such property: [F(X,Y) = 1 iff X = aY + b (almost everywhere) for a>0] and [F(X,Y) = -1 iff X = aY + b (almost everywhere) for a<0]. Have I necessarily defined the normal correlation or there are some other functions with the same properties (if so, what conditions should I add in order to get the normal correlation if it is even possible to get the correlation moving in that direction)?
probability-theory random-variables correlation
$endgroup$
Suppose I have a probability space on which I define the space of all random variables. On that given space I then define function F which takes two random variables as arguments and returns a real number between -1 and 1. Let F have such property: [F(X,Y) = 1 iff X = aY + b (almost everywhere) for a>0] and [F(X,Y) = -1 iff X = aY + b (almost everywhere) for a<0]. Have I necessarily defined the normal correlation or there are some other functions with the same properties (if so, what conditions should I add in order to get the normal correlation if it is even possible to get the correlation moving in that direction)?
probability-theory random-variables correlation
probability-theory random-variables correlation
edited Mar 31 at 22:07
graffermed
asked Mar 31 at 17:58
graffermedgraffermed
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