Cargando…

Theory of Stochastic Processes With Applications to Financial Mathematics and Risk Theory /

This book is a collection of exercises covering all the main topics in the modern theory of stochastic processes and its applications, including finance, actuarial mathematics, queuing theory, and risk theory. The aim of this book is to provide the reader with the theoretical and practical material...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gusak, Dmytro (Autor), Kukush, Alexander (Autor), Kulik, Alexey (Autor), Mishura, Yuliya (Autor), Pilipenko, Andrey (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Problem Books in Mathematics,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-0-387-87862-1
003 DE-He213
005 20220116005903.0
007 cr nn 008mamaa
008 100710s2010 xxu| s |||| 0|eng d
020 |a 9780387878621  |9 978-0-387-87862-1 
024 7 |a 10.1007/978-0-387-87862-1  |2 doi 
050 4 |a QA273.A1-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
072 7 |a PBT  |2 thema 
072 7 |a PBWL  |2 thema 
082 0 4 |a 519.2  |2 23 
100 1 |a Gusak, Dmytro.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Theory of Stochastic Processes  |h [electronic resource] :  |b With Applications to Financial Mathematics and Risk Theory /  |c by Dmytro Gusak, Alexander Kukush, Alexey Kulik, Yuliya Mishura, Andrey Pilipenko. 
250 |a 1st ed. 2010. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2010. 
300 |a XII, 376 p. 8 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Problem Books in Mathematics,  |x 2197-8506 
505 0 |a Definition of stochastic process. Cylinder #x03C3;-algebra, finite-dimensional distributions, the Kolmogorov theorem -- Characteristics of a stochastic process. Mean and covariance functions. Characteristic functions -- Trajectories. Modifications. Filtrations -- Continuity. Differentiability. Integrability -- Stochastic processes with independent increments. Wiener and Poisson processes. Poisson point measures -- Gaussian processes -- Martingales and related processes in discrete and continuous time. Stopping times -- Stationary discrete- and continuous-time processes. Stochastic integral over measure with orthogonal values -- Prediction and interpolation -- Markov chains: Discrete and continuous time -- Renewal theory. Queueing theory -- Markov and diffusion processes -- It#x00F4; stochastic integral. It#x00F4; formula. Tanaka formula -- Stochastic differential equations -- Optimal stopping of random sequences and processes -- Measures in a functional spaces. Weak convergence, probability metrics. Functional limit theorems -- Statistics of stochastic processes -- Stochastic processes in financial mathematics (discrete time) -- Stochastic processes in financial mathematics (continuous time) -- Basic functionals of the risk theory. 
520 |a This book is a collection of exercises covering all the main topics in the modern theory of stochastic processes and its applications, including finance, actuarial mathematics, queuing theory, and risk theory. The aim of this book is to provide the reader with the theoretical and practical material necessary for deeper understanding of the main topics in the theory of stochastic processes and its related fields. The book is divided into chapters according to the various topics. Each chapter contains problems, hints, solutions, as well as a self-contained theoretical part which gives all the necessary material for solving the problems. References to the literature are also given. The exercises have various levels of complexity and vary from simple ones, useful for students studying basic notions and technique, to very advanced ones that reveal some important theoretical facts and constructions. This book is one of the largest collections of problems in the theory of stochastic processes and its applications. The problems in this book can be useful for undergraduate and graduate students, as well as for specialists in the theory of stochastic processes. 
650 0 |a Probabilities. 
650 0 |a Actuarial science. 
650 0 |a Business mathematics. 
650 0 |a Statistics . 
650 1 4 |a Probability Theory. 
650 2 4 |a Actuarial Mathematics. 
650 2 4 |a Business Mathematics. 
650 2 4 |a Statistics in Business, Management, Economics, Finance, Insurance. 
700 1 |a Kukush, Alexander.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Kulik, Alexey.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Mishura, Yuliya.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Pilipenko, Andrey.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9780387879376 
776 0 8 |i Printed edition:  |z 9781461425069 
776 0 8 |i Printed edition:  |z 9780387878614 
776 0 8 |i Printed edition:  |z 9781071605165 
830 0 |a Problem Books in Mathematics,  |x 2197-8506 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-0-387-87862-1  |z Texto Completo 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)