Coop UQAM | Coopsco

Créer mon profil | Mot de passe oublié?

Magasiner par secteur

Matériel obligatoire et recommandé

Voir les groupes
Devenir membre

Nos partenaires

UQAM
ESG UQAM
Réseau ESG UQAM
Bureau des diplômés
Centre sportif
Citadins
Service de la formation universitaire en région
Université à distance
Société de développement des entreprises culturelles - SODEC
L'institut du tourisme et de l'hotellerie - ITHQ
Pour le rayonnement du livre canadien
Presses de l'Université du Québec
Auteurs UQAM : Campagne permanente de promotion des auteures et auteurs UQAM
Fondation de l'UQAM
Écoles d'été en langues de l'UQAM
Canal savoir
L'économie sociale, j'achète
Millénium Micro



Recherche avancée...

Point Processes Theory and Applications

Jacobsen, Martin


Éditeur : BIRKHAUSSER
ISBN papier: 9780817642150
Parution : 2006
Code produit : 1135500
Catégorisation : Livres / Science / Mathématique / Mathématiques

Formats disponibles

Format Qté. disp. Prix* Commander
Livre papier En rupture de stock** Prix membre : 35,39 $
Prix non-membre : 39,32 $
x

*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
**Ce produits est en rupture de stock mais sera expédié dès qu'ils sera disponible.




Description

This 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 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, finance and risk management (arbitrage and portfolio trading strategies), queueing theory, and sports (soccer).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.