Point Process Theory and Applications / Najlacnejšie knihy
Point Process Theory and Applications

Code: 01399302

Point Process Theory and Applications

by M. Jacobsen

Mathematically rigorous exposition of the basic theory of marked point processes and piecewise deterministic stochastic processes§Point processes are constructed from scratch with detailed proofs §Includes applications with exampl ... more

100.25


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Book synopsis

Mathematically rigorous exposition of the basic theory of marked point processes and piecewise deterministic stochastic processes§Point processes are constructed from scratch with detailed proofs §Includes applications with examples and exercises in survival analysis, branching processes, ruin probabilities, sports (soccer), finance and risk management, and queueing theory §Accessible to a wider cross-disciplinary audienceThis text offers a mathematically rigorous exposition of the basic theory of marked point processes developing randomly over time, and shows how this theory may be used to treat piecewise deterministic stochastic processes in continuous time.§The focus is on point processes that generate only finitely many points in finite time intervals, resulting in piecewise deterministic processes with "few jumps". The point processes are constructed from scratch with detailed proofs and their distributions characterized using compensating measures and martingale structures. Piecewise deterministic processes are defined and identified with certain marked point processes, which are then used in particular to construct and study a large class of piecewise deterministic Markov processes, whether time homogeneous or not.§The second part of the book addresses applications of the just developed theory. This analysis of various models in applied statistics and probability includes examples and exercises in survival analysis, branching processes, ruin probabilities, sports (soccer), finance and risk management (arbitrage and portfolio trading strategies), and queueing theory.§Graduate students and researchers interested in probabilistic modeling and its applications will find this text an excellent resource, requiring for mastery a solid foundation in probability theory, measure and integration, as well as some knowledge of stochastic processes and martingales. However, an explanatory introduction to each chapter highlights those portions that are crucial and those that can be omitted by non-specialists, making the material more accessible to a wider cross-disciplinary audience.

Book details

Book category Books in English Mathematics & science Mathematics Applied mathematics

100.25

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