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Probability and Measure
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In this paper, the convergence of distributions is considered in the context of conditional probability, i.e., random variables and expected values, and the probability of a given distribution converging to a certain value.Abstract:
Probability. Measure. Integration. Random Variables and Expected Values. Convergence of Distributions. Derivatives and Conditional Probability. Stochastic Processes. Appendix. Notes on the Problems. Bibliography. List of Symbols. Index.read more
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Approximate non-interference
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Probabilistic Bounds on the Coefficients of Polynomials with Only Real Zeros
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Effective Strong Dimension in Algorithmic Information and Computational Complexity
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