Point Process Theory and Applications: Marked Point and Piecewise Deterministic Processes

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Springer Science & Business Media, 27.07.2006 - 328 Seiten
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The book aims at presenting a detailed and mathematically rigorous exposition of the theory and applications of a class of point processes and piecewise deterministic p- cesses. The framework is suf?ciently general to unify the treatment of several classes of stochastic phenomena: point processes, Markov chains and other Markov processes in continuous time, semi-Markov processes, queueing and storage models, and li- lihood processes. There are applications to ?nance, insurance and risk, population models, survival analysis, and congestion models. A major aim has been to show the versatility of piecewise deterministic Markov processes for applications and to show how they may also become useful in areas where thus far they have not been much in evidence. Originally the plan was to develop a graduate text on marked point processes - dexed by time which would focus on probabilistic structure and be essentially se- contained. However, it soon became apparent that the discussion should naturally include a traditional class of continuous time stochastic processes constructed from certain marked point processes. This class consists of ‘piecewise deterministic p- cesses’; that is, processes with ?nitely many jumps on ?nite time intervals which, roughly speaking, develop deterministically between the random jump times. The - position starts with the point process theory and then uses this to treat the piecewise deterministic processes.
 

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Inhalt

Simple and Marked Point Processes
9
Construction of SPPs and MPPs 17
16
Compensators and Martingales
33
Likelihood Processes
103
Independence
119
PDMPs 143
142
Survival Analysis
217
Branching Ruin Soccer 231
230
A Model from Finance
247
Examples of Queueing Models
277
A Differentiation of Cadlag Functions 297
295
Bibliographical Notes
309
Index
325
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