Share

Recent Developments in Stochastic Methods and Applications

2021-08-02 Mathematics
Download Recent Developments in Stochastic Methods and Applications PDF Online Free

Author :
Release : 2021-08-02
Genre : Mathematics
Kind : eBook
Book Rating : 66X/5 ( reviews)

GET EBOOK


Book Synopsis Recent Developments in Stochastic Methods and Applications by : Albert N. Shiryaev

Download or read book Recent Developments in Stochastic Methods and Applications written by Albert N. Shiryaev. This book was released on 2021-08-02. Available in PDF, EPUB and Kindle. Book excerpt: Highlighting the latest advances in stochastic analysis and its applications, this volume collects carefully selected and peer-reviewed papers from the 5th International Conference on Stochastic Methods (ICSM-5), held in Moscow, Russia, November 23-27, 2020. The contributions deal with diverse topics such as stochastic analysis, stochastic methods in computer science, analytical modeling, asymptotic methods and limit theorems, Markov processes, martingales, insurance and financial mathematics, queueing theory and stochastic networks, reliability theory, risk analysis, statistical methods and applications, machine learning and data analysis. The 29 articles in this volume are a representative sample of the 87 high-quality papers accepted and presented during the conference. The aim of the ICSM-5 conference is to promote the collaboration of researchers from Russia and all over the world, and to contribute to the development of the field of stochastic analysis and applications of stochastic models.

Recent Developments in Stochastic Methods and Applications

2021
Download Recent Developments in Stochastic Methods and Applications PDF Online Free

Author :
Release : 2021
Genre :
Kind : eBook
Book Rating : 674/5 ( reviews)

GET EBOOK


Book Synopsis Recent Developments in Stochastic Methods and Applications by : Albert N. Shiryaev

Download or read book Recent Developments in Stochastic Methods and Applications written by Albert N. Shiryaev. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: Highlighting the latest advances in stochastic analysis and its applications, this volume collects carefully selected and peer-reviewed papers from the 5th International Conference on Stochastic Methods (ICSM-5), held in Moscow, Russia, November 23-27, 2020. The contributions deal with diverse topics such as stochastic analysis, stochastic methods in computer science, analytical modeling, asymptotic methods and limit theorems, Markov processes, martingales, insurance and financial mathematics, queueing theory and stochastic networks, reliability theory, risk analysis, statistical methods and applications, machine learning and data analysis. The 29 articles in this volume are a representative sample of the 87 high-quality papers accepted and presented during the conference. The aim of the ICSM-5 conference is to promote the collaboration of researchers from Russia and all over the world, and to contribute to the development of the field of stochastic analysis and applications of stochastic models.

Recent Development in Stochastic Dynamics and Stochastic Analysis

2010 Mathematics
Download Recent Development in Stochastic Dynamics and Stochastic Analysis PDF Online Free

Author :
Release : 2010
Genre : Mathematics
Kind : eBook
Book Rating : 266/5 ( reviews)

GET EBOOK


Book Synopsis Recent Development in Stochastic Dynamics and Stochastic Analysis by : Jinqiao Duan

Download or read book Recent Development in Stochastic Dynamics and Stochastic Analysis written by Jinqiao Duan. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt: 1. Hyperbolic equations with random boundary conditions / Zdzisław Brzeźniak and Szymon Peszat -- 2. Decoherent information of quantum operations / Xuelian Cao, Nan Li and Shunlong Luo -- 3. Stabilization of evolution equations by noise / Tomás Caraballo and Peter E. Kloeden -- 4. Stochastic quantification of missing mechanisms in dynamical systems / Baohua Chen and Jinqiao Duan -- 5. Banach space-valued functionals of white noise / Yin Chen and Caishi Wang -- 6. Hurst index estimation for self-similar processes with long-memory / Alexandra Chronopoulou and Frederi G. Viens -- 7. Modeling colored noise by fractional Brownian motion / Jinqiao Duan, Chujin Li and Xiangjun Wang -- 8. A sufficient condition for non-explosion for a class of stochastic partial differential equations / Hongbo Fu, Daomin Cao and Jinqiao Duan -- 9. The influence of transaction costs on optimal control for an insurance company with a new value function / Lin He, Zongxia Liang and Fei Xing -- 10. Limit theorems for p-variations of solutions of SDEs driven by additive stable Lévy noise and model selection for paleo-climatic data / Claudia Hein, Peter Imkeller and Ilya Pavlyukevich -- 11. Class II semi-subgroups of the infinite dimensional rotation group and associated Lie algebra / Takeyuki Hida and Si Si -- 12. Stopping Weyl processes / Robin L. Hudson -- 13. Karhunen-Loéve expansion for stochastic convolution of cylindrical fractional Brownian motions / Zongxia Liang -- 14. Stein's method meets Malliavin calculus : a short survey with new estimates / Ivan Nourdin and Giovanni Peccati -- 15. On stochastic integrals with respect to an infinite number of Poisson point process and its applications / Guanglin Rang, Qing Li and Sheng You -- 16. Lévy white noise, elliptic SPDEs and Euclidean random fields / Jiang-Lun Wu -- 17. A short presentation of Choquet integral / Jia-An Yan

Stochastic Processes and Applications

2014-11-19 Mathematics
Download Stochastic Processes and Applications PDF Online Free

Author :
Release : 2014-11-19
Genre : Mathematics
Kind : eBook
Book Rating : 239/5 ( reviews)

GET EBOOK


Book Synopsis Stochastic Processes and Applications by : Grigorios A. Pavliotis

Download or read book Stochastic Processes and Applications written by Grigorios A. Pavliotis. This book was released on 2014-11-19. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated. The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.

Modern Trends in Controlled Stochastic Processes

2010-09 Mathematics
Download Modern Trends in Controlled Stochastic Processes PDF Online Free

Author :
Release : 2010-09
Genre : Mathematics
Kind : eBook
Book Rating : 300/5 ( reviews)

GET EBOOK


Book Synopsis Modern Trends in Controlled Stochastic Processes by : Alexey B. Piunovskiy

Download or read book Modern Trends in Controlled Stochastic Processes written by Alexey B. Piunovskiy. This book was released on 2010-09. Available in PDF, EPUB and Kindle. Book excerpt: World leading experts give their accounts of the modern mathematical models in the field: Markov Decision Processes, controlled diffusions, piece-wise deterministic processes etc, with a wide range of performance functionals. One of the aims is to give a general view on the state-of-the-art. The authors use Dynamic Programming, Convex Analytic Approach, several numerical methods, index-based approach and so on. Most chapters either contain well developed examples, or are entirely devoted to the application of the mathematical control theory to real life problems from such fields as Insurance, Portfolio Optimization and Information Transmission. The book will enable researchers, academics and research students to get a sense of novel results, concepts, models, methods, and applications of controlled stochastic processes.

You may also like...