Cantitate/Preț
Produs

A Course of Stochastic Analysis: CMS/CAIMS Books in Mathematics, cartea 6

Autor Alexander Melnikov
en Limba Engleză Paperback – 5 apr 2024
The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes. The main purpose of the book is to present, in a short and sufficiently self-contained form, the methods and results of the contemporary theory of stochastic analysis and to show how these methods and results work in mathematical finance and statistics of random processes. The book can be considered as a textbook for both senior undergraduate and graduate courses on this subject. The book can be helpful for undergraduate and graduate students, instructors and specialists on stochastic analysis and its applications.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 35156 lei  38-44 zile
  Springer Nature Switzerland – 5 apr 2024 35156 lei  38-44 zile
Hardback (1) 46723 lei  38-44 zile
  Springer Nature Switzerland – 4 apr 2023 46723 lei  38-44 zile

Din seria CMS/CAIMS Books in Mathematics

Preț: 35156 lei

Nou

Puncte Express: 527

Preț estimativ în valută:
6730 6996$ 5580£

Carte tipărită la comandă

Livrare economică 04-10 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031253287
ISBN-10: 3031253280
Pagini: 208
Ilustrații: X, 208 p. 3 illus., 1 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria CMS/CAIMS Books in Mathematics

Locul publicării:Cham, Switzerland

Cuprins

1 Probabilistic Foundations.- 2 Random variables and their quantitative characteristics.- 3 Expectations and convergence of sequences of random variables.- 4 Weak convergence of sequences of random variables.- 5 Absolute continuity of probability measures and conditional expectations.- 6 Discrete time stochastic analysis: basic results.- 7 Discrete time stochastic analysis: further results and applications.- 8 Elements of classical theory of stochastic processes.- 9 Stochastic differential equations, diffusion processes and their applications.- 10 General theory of stochastic processes under ”usual conditions".- 11 General theory of stochastic processes in applications.- 12 Supplementary problems.- References.- Index.

Notă biografică

Alexander Melnikov is a Professor at the University of Alberta working in stochastic analysis and its applications in finance, statistics and insurance. He is the author of eight books and over one hundred papers in leading academic journals and venues. He is a Fellow of the Russian Academy of Natural Sciences, a recipient of the Leontiev medal of this academy and the McCalla Professorship of the University of Alberta. In addition to his academic engagements, he held several senior positions in business and professional organizations: Chief-Scientist at Risk-Invest Deutschland (Frankfurt), Vice-President of the Russian Society of Actuaries, Deputy Director at the Center for Actuarial and Financial Studies (Moscow), Senior Research Consultant at the Model Capital Management (Boston).

Textul de pe ultima copertă

The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes. The main purpose of the book is to present, in a short and sufficiently self-contained form, the methods and results of the contemporary theory of stochastic analysis and to show how these methods and results work in mathematical finance and statistics of random processes. The book can be considered as a textbook for both senior undergraduate and graduate courses on this subject. The book can be helpful for undergraduate and graduate students, instructors and specialists on stochastic analysis and its applications.

Caracteristici

Presents methods & results of the contemporary stochastic analysis Offers an exposition of complex results in contemporary theory, applications in financial & statistical models Numerous topics are shown by more than one hundred examples & exercises with hints & solutions