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Markov kernel
随机模型的第一课
ISBN:9780471498810,出版年:2003,中图分类号:O21

Poission process and related processes renewal-reward processes discrete-time Markov chains continuous-time Markov chains Markov chains and queues discrete-time Markov decision processes semi-Markov decision processes advanced renewal theory algorithms analysis of queuing models useful tools in applied probability useful probability distributions generating functions the discrete fast Fourier transform Laplace transformtheory numerical Laplace inversion the root-finding problem.

有向图马尔科夫系统:有限集的几何学和动力学
ISBN:9780511056123,出版年:2003,中图分类号:O1 被引 321次

Introduction 1. Symbolic dynamics 3. Hoelder families of functions 4. Conformal graph directed Markov systems 5. Examples of graph directed Markov systems 6. Conformal iterated function systems 7. Dynamical rigidity of conformal iterated function systems 8. Parabolic iterated function systems 9. Parabolic systems: Hausdorff and packing measures.

模拟与优化分段确定的马尔可夫过程的计算方法
ISBN:9781848218390,出版年:2015,中图分类号:O1 被引 5次

Mark H.A. Davis introduced the Piecewise-Deterministic Markov Process (PDMP) class of stochastic hybrid models in an article in 1984. Today it is used to model a variety of complex systems in the fields of engineering, economics, management sciences, biology, Internet traffic, networks and many more. Yet, despite this, there is very little in the way of literature devoted to the development of numerical methods for PDMDs to solve problems of practical importance, or the computational control of PDMPs. This book therefore presents a collection of mathematical tools that have been recently developed to tackle such problems. It begins by doing so through examples in several application domains such as reliability. The second part is devoted to the study and simulation of expectations of functionals of PDMPs. Finally, the third part introduces the development of numerical techniques for optimal control problems such as stopping and impulse control problems.

复杂网络和系统的性能分析
ISBN:9781139950657,出版年:2014,中图分类号:TN 被引 124次

1. Introduction Part I. Probability Theory: 2. Random variables 3. Basic distributions 4. Correlation 5. Inequalities 6. Limit laws Part II. Stochastic Processes: 7. The Poisson process 8. Renewal theory 9. Discrete-time Markov chains 10. Continuous-time Markov chains 11. Applications of Markov chains 12. Branching processes 13. General queueing theory 14. Queueing models Part III. Network Science: 15. General characteristics of graphs 16. The shortest path problem 17. Epidemics in networks 18. The efficiency of multicast 19. The hopcount and weight to an anycast group Appendix A. A summary of matrix theory Appendix B. Solutions to problems.

马尔可夫过程:物理学家入门
ISBN:9780122839559,出版年:1991,中图分类号:O4 被引 944次

Random Variable Theory. General Features of a Markov Process. Continuous Markov Processes. Jump Markov Processes with Continuum States. Jump Markov Processes with Discrete States. Temporally Homogeneous Birth-Death Markov Processes. Appendixes: Some Useful Integral Identities. Integral Representations of the Delta Functions. An Approximate Solution Procedure for "Open" Moment Evolution Equations. Estimating the Width and Area of a Function Peak. Can the Accuracy of the Continuous Process Simulation Formula Be Improved? Proof of the Birth-Death Stability Theorem. Solution of the Matrix Differential Equation. Bibliography. Index.

工程师和经理的马尔可夫链和决策过程
ISBN:9781420051117,出版年:2016,中图分类号:F2 被引 26次

Markov Chain Structure and Models Historical Note States and Transitions Model of the Weather Random Walks Estimating Transition Probabilities Multiple-Step Transition Probabilities State Probabilities after Multiple Steps Classification of States Markov Chain Structure Markov Chain Models Problems References Regular Markov Chains Steady State Probabilities First Passage to a Target State Problems References Reducible Markov Chains Canonical Form of the Transition Matrix The Fundamental Matrix Passage to a Target State Eventual Passage to a Closed Set Within a Reducible Multichain Limiting Transition Probability Matrix Problems References A Markov Chain with Rewards (MCR) Rewards Undiscounted Rewards Discounted Rewards Problems References A Markov Decision Process (MDP) An Undiscounted MDP A Discounted MDP Problems References Special Topics: State Reduction and Hidden Markov Chains State Reduction An Introduction to Hidden Markov Problems References Index

高斯马尔可夫的随机场
ISBN:9781584884323,出版年:2005,中图分类号:O21

Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics, a very active area of research in which few up-to-date reference works are available. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. The book includes extensive case studies and online a c-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of science fields where spatial data analysis is important.

随机人口进程: 分析、近似值、模仿
ISBN:9780198739067,出版年:2011,中图分类号:O21 被引 70次

Preface 1. Introduction 2. Simple Markov Population Processes 3. General Markov Population Processes 4. The Random Walk 5. Markov Chains 6. Markov Processes in Continuous Time and Space 7. Modelling Bivariate Processes 8. Two-Species Interaction Processes 9. Spatial Processes 10. Spatial-Temporal Extensions References Index

有限马尔可夫链的自学习控制
ISBN:9780367398996,出版年:2018,中图分类号:TP 被引 133次

Controlled Markov chains. Unconstrained Markov chains: Lagrange multipliers approach penalty function approach projection gradient method. Constrained Markov chains: Lagrange multipliers approach penalty function approach nonregular Markov chains practical aspects.

ISBN:9780243077564,出版年:1900,中图分类号:K5

Himself debarred, as we have seen, from public honors and lamenting the long indolence of his progenitors in re gard to them, Marcus was the more anxious in animating his son's ambition, and spared neither money nor pains in so instructing him, as to prepare him for the highest dignities. His paternal care was soon and well repaid; Cicero, in the progress of his studies, disclosing brilliant talents, as well as the love of glory, which may be said to have been throughout life his master passion, and the real secret of his greatness.

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