Searching for "The distribution of total variation distance" – sorted by Relevance.
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Circularly-Coupled Markov Chain Sampling
- bound the total variation distance between the distribution of y 0 ; : : : ; y N 1 as produced
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Distortion Measures for
- distance, total variation distance, and change in entropy for the complete 8-variate distribution
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Quantum Walks On Graphs
- at time t is within a constant in total variation distance from the uniform distribution over an interval
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Random Walks on Discrete and Continuous Circles
- to approach the uniform distribution in total variation distance (see Diaconis [1], Chapter 3C, Theorem 2
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A review of asymptotic convergence for general state space Markov chains
- measurable A ` X : Finally, we recall that given two probability distributions �� and , their total variation
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A comparison of Rejection Sampling and Metropolis-Hastings algorithm.
- and the transition matrix is K(i; j) with �� as the limiting distribution. Then the total variation distance is kK n
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Exploiting Random Walks for Learning
- to the uniform distribution in total variation distance. Definition 7 If S is a countable set and P and Q
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Efficient Algorithms for Sampling and Clustering of Large Nonuniform Networks
- distribution, the total variation distance between the two is defined as [5, 15]: #(t) = max S#V |# t (S
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Reversal of Markov Chains and the Forget Time
- /4 to the stationary distribution in total variation distance; T fill is defined analogously, except
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On Rounds in Quantum Communication
- such measure is the relative entropy. For probability distributions the total variational distance is another
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