Chistyakov G, Götze F. Independence of linear forms with random coefficients. PROBABILITY THEORY AND RELATED FIELDS. 2007;137(1-2):1-24.We extend the classical Darmois-Skitovich theorem to the case where the linear forms L-r1 = U1X1 +center dot center dot center dot+ UnXn and L-r2 = Un+1X1+center dot center dot center dot+U2nXn have random coefficients U-1,...,U-2n. Under minimal restrictions on the random coefficients we completely describe the distributions of the independent random variables X-1,...,X-n and U-1,...,U-2n such that the linear forms L-r1 and L-r2 are independent
This paper is concerned with the distributions of linear functions of independent U and F variates. ...
The spectral distribution function of random matrices is an information-carrying object widely studi...
The spectral distribution function of random matrices is an information-carrying object widely studi...
The property of independence of two random forms with a non-degenerate random number of summands con...
According to the Skitovich–Darmois theorem, the independence of two linear forms of n independent ra...
Independent component analysis treats the problem of transforming a random vector in order to render...
Comon showed using the Darmois-Skitovitch theorem that under mild assumptions a real-valued random v...
The Darmois-Skitovic Theorem on characterization of normal lew through independence of linear functi...
Abstract. Of a11 the characterizations of Ule normal distribution, three landmarks are the theorems ...
Abstract. Let T1,..., Tn denote free random variables. For two linear forms L1 =∑n j=1 ajTj and L2 =...
AbstractLet X1, X2,…, be independent, identically distributed random variables. Suppose that the lin...
Abstract. Let T1,..., Tn denote free random variables. For two linear forms L1 =∑n j=1 ajTj and L2 =...
The spectral distribution function of random matrices is an information-carrying object widely studi...
The spectral distribution function of random matrices is an information-carrying object widely studi...
Let (X1,Y1),...,(Xm,Ym) be m independent identically distributed bivariate vectors and L1 = β1X1 + ....
This paper is concerned with the distributions of linear functions of independent U and F variates. ...
The spectral distribution function of random matrices is an information-carrying object widely studi...
The spectral distribution function of random matrices is an information-carrying object widely studi...
The property of independence of two random forms with a non-degenerate random number of summands con...
According to the Skitovich–Darmois theorem, the independence of two linear forms of n independent ra...
Independent component analysis treats the problem of transforming a random vector in order to render...
Comon showed using the Darmois-Skitovitch theorem that under mild assumptions a real-valued random v...
The Darmois-Skitovic Theorem on characterization of normal lew through independence of linear functi...
Abstract. Of a11 the characterizations of Ule normal distribution, three landmarks are the theorems ...
Abstract. Let T1,..., Tn denote free random variables. For two linear forms L1 =∑n j=1 ajTj and L2 =...
AbstractLet X1, X2,…, be independent, identically distributed random variables. Suppose that the lin...
Abstract. Let T1,..., Tn denote free random variables. For two linear forms L1 =∑n j=1 ajTj and L2 =...
The spectral distribution function of random matrices is an information-carrying object widely studi...
The spectral distribution function of random matrices is an information-carrying object widely studi...
Let (X1,Y1),...,(Xm,Ym) be m independent identically distributed bivariate vectors and L1 = β1X1 + ....
This paper is concerned with the distributions of linear functions of independent U and F variates. ...
The spectral distribution function of random matrices is an information-carrying object widely studi...
The spectral distribution function of random matrices is an information-carrying object widely studi...