Estimating random variables from random sparse observations
نویسندگان
چکیده
منابع مشابه
Estimating random variables from random sparse observations
Let X1, . . . , Xn be a collection of iid discrete random variables, and Y1, . . . , Ym a set of noisy observations of such variables. Assume each observation Ya to be a random function of some a random subset of the Xi’s, and consider the conditional distribution of Xi given the observations, namely μi(xi) ≡ P{Xi = xi|Y } (a posteriori probability). We establish a general decoupling principle ...
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ژورنال
عنوان ژورنال: European Transactions on Telecommunications
سال: 2008
ISSN: 1124-318X,1541-8251
DOI: 10.1002/ett.1289