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Showing 1 to 6 of 6 for “"Dependent Random Variables"”.
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Concentration Inequalities for Dependent Random Variables on Bayesian Networks
… results for the function defined on the random variables on a Bayesian Network. In this work, we provide several concentration inequality results under the assumption that the function is Lipshitz or bounded difference. In addition, we illustrate about the concentration of the maximum …
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Change Point Detection and Estimation in Sequences of Dependent Random Variables
… and estimation procedures for sequences of dependent binary random variables are proposed and their asymptotic properties are explored. The two procedures are a dependent cumulative sum statistic (DCUSUM) and a dependent likelihood ratio test (LRT) statistic, which are generalizations of the …
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ΑΣΘΕΝΩΣ ΕΞΗΡΤΗΜΕΝΕΣ ΤΥΧΑΙΕΣ ΜΕΤΑΒΛΗΤΕΣ ΚΑΙ ΜΗ ΠΑΡΑΜΕΤΡΙΚΗ ΕΚΤΙΜΗΣΗ ΠΥΚΝΟΤΗΤΑΣ ΠΙΘΑΝΟΤΗΤΑΣ
IN THIS WORK THE DEFINITION OF WEAKLY DEPENDENT RANDOM VARIABLES ARE GIVEN. KNOWN AND NEW RESULTS ARE GIVEN WITH A VIEW TO MAKING THEM READILY AVAILABLE FOR CERTAIN STATISTICAL APPLICATIONS. EXPONENTIAL PROBABILITY BOUNDS FOR SUMS OF TRIANGULAR ARRAY OF WEAKLY DEPENDENT RANDOM VARIABLES ARE GIVEN, …
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Belief propagation on factor graph neural networks
… are a statistical framework for conditionally dependent random variables with dependencies represented by graphs. A traditional method to perform inference over these random variables is Belief Propagation. Belief Propagation can be used to compute an exact solution for non-loopy factor graphs. …
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Correlated Sources In Distributed Networks - Data Transmission, Common Information Characterization and Inferencing
… characterizing the common information among dependent random variables, and testing the presence of dependence among observations.</p> <p>It is well known that separated source and channel coding is optimal for point-to-point communication. However, this is not the case for multi-terminal …
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First-passage-time problems in time-aware networks
… a stochastic process crosses a boundary is a random variable whose probability distribution is sought in engineering, statistics, finance, and other disciplines. The probability distribution of the first passage time has practical utility but is difficult to obtain because the values of the …