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Probability and Measure

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TLDR
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.

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The Category of Markov Kernels

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Optimal replacement under a minimal repair strategy-a general failure model

TL;DR: In this paper, the authors generalize the minimal repair replacement model introduced by Barlow and Hunter (1960) and assume that there is available information about the underlying condition of the system, for instance through measurements of wear characteristics and damage inflicted on the system.
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Covert Communication Gains From Adversary’s Ignorance of Transmission Time

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Social choice and electoral competition in the general spatial model

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Flux decomposition into coherent structures

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