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首页> 外文期刊>Advances in applied probability >STOCHASTIC SEQUENCES WITH A REGENERATIVE STRUCTURE THAT MAY DEPEND BOTH ON THE FUTURE AND ON THE PAST
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STOCHASTIC SEQUENCES WITH A REGENERATIVE STRUCTURE THAT MAY DEPEND BOTH ON THE FUTURE AND ON THE PAST

机译:具有可依赖于未来和过去的可再生结构的随机序列

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摘要

Many regenerative arguments in stochastic processes use random times which are akin to stopping times, but which are determined by the future as well as the past behaviour of the process of interest. Such arguments based on 'conditioning on the future' are usually developed in an ad-hoc way in the context of the application under consideration, thereby obscuring the underlying structure. In this paper we give a simple, unified, and more general treatment of such conditioning theory. We further give a number of novel applications to various particle system models, in particular to various flavours of contact processes and to infinite-bin models. We give a number of new results for existing and new models. We further make connections with the theory of Harris ergodicity.
机译:随机过程中的许多再生论点都使用类似于停止时间的随机时间,但随机时间取决于目标过程的未来以及过去的行为。这种基于“对未来的条件”的论点通常是在考虑中的应用程序上下文中以临时方式开发的,从而掩盖了底层结构。在本文中,我们对这种条件理论进行了简单,统一和更一般的处理。我们进一步为各种粒子系统模型提供了许多新颖的应用,特别是各种接触过程和无限仓模型。对于现有模型和新模型,我们给出了许多新结果。我们进一步与哈里斯遍历理论联系起来。

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