Statistics And Stochastic Processes For Cas Exam 3l Students Also Taking Soa Exam Mlc To Be Used With Asm S Exam Mlc Manual
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Discrete Stochastic Processes
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Author : Nicolas Privault
language : en
Publisher: Springer Nature
Release Date : 2024-10-07
Discrete Stochastic Processes written by Nicolas Privault and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Mathematics categories.
This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (excited) random walks, convergence and mixing of Markov chains, distribution modeling using phase-type distributions, applications to search engines and probabilistic automata, and an introduction to the Ising model used in statistical physics. Applications to data science are also considered via hidden Markov models and Markov decision processes. A total of 32 exercises and 17 longer problems are provided with detailed solutions and cover various topics of interest, including statistical learning.
Stochastic Processes
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Author : Pierre Del Moral
language : en
Publisher: CRC Press
Release Date : 2017-02-24
Stochastic Processes written by Pierre Del Moral and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-24 with Mathematics categories.
Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology. Written with an important illustrated guide in the beginning, it contains many illustrations, photos and pictures, along with several website links. Computational tools such as simulation and Monte Carlo methods are included as well as complete toolboxes for both traditional and new computational techniques.
Stochastic Processes
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Author : Richard F. Bass
language : en
Publisher:
Release Date : 2011
Stochastic Processes written by Richard F. Bass and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Electronic books categories.
"This comprehensive guide to stochastic processes gives a complete overview of the theory and addresses the most important applications. Pitched at a level accessible to beginning graduate students and researchers from applied disciplines, it is both a course book and a rich resource for individual readers. Subjects covered include Brownian motion, stochastic calculus, stochastic differential equations, Markov processes, weak convergence of processes and semigroup theory. Applications include the Black-Scholes formula for the pricing of derivatives in financial mathematics, the Kalman-Bucy filter used in the US space program and also theoretical applications to partial differential equations and analysis. Short, readable chapters aim for clarity rather than full generality. More than 350 exercises are included to help readers put their new-found knowledge to the test and to prepare them for tackling the research literature"--
Stochastic Processes
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Author : S. Kidambi Srinivasan
language : en
Publisher:
Release Date : 1978
Stochastic Processes written by S. Kidambi Srinivasan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Mathematics categories.
Exercises Of Stochastic Processes
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Author : Simone Malacrida
language : en
Publisher: Simone Malacrida
Release Date : 2022-12-19
Exercises Of Stochastic Processes written by Simone Malacrida and has been published by Simone Malacrida this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-19 with Mathematics categories.
In this book, exercises are carried out regarding the following mathematical topics: Markov chains and Markovian stochastic processes time-dependent and time-independent stochastic processes random walks and Brownian motion Initial theoretical hints are also presented to make the performance of the exercises understood.
Stochastic Processes And Time Series Analysis
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-05-24
Stochastic Processes And Time Series Analysis written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Mathematics categories.
Offers a blend of theory and applications in stochastic processes and time series analysis, covering Markov chains, stationarity, ARIMA, and spectral analysis.
Stationary Stochastic Processes For Scientists And Engineers
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Author : Georg Lindgren
language : en
Publisher: CRC Press
Release Date : 2013-10-11
Stationary Stochastic Processes For Scientists And Engineers written by Georg Lindgren and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-11 with Mathematics categories.
Suitable for a one-semester course, this text teaches students how to use stochastic processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concepts as well as the types of questions statistical analysis can answer. To enable hands-on practice, MATLAB code is available online.
An Introduction To Stochastic Processes
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Author : Adhir K. Basu
language : en
Publisher: Narosa Publishing House
Release Date : 2003
An Introduction To Stochastic Processes written by Adhir K. Basu and has been published by Narosa Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
Designed for college mathematics students at all levels, this book grew from the author's lectures for advanced undergraduate courses at Canadian and United States universities, and from a postgraduate course at Calcutta University. It introduces discrete time Markov chain and second order stochastic analysis, and includes discussions of renewal theory, time series analysis, queuing theory, Brownian motions, and martingale theorems.
Stochastic Processes
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Author :
language : en
Publisher:
Release Date : 1953
Stochastic Processes written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1953 with categories.
Introduction To Stochastic Processes
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Author : Gregory F. Lawler
language : en
Publisher: CRC Press
Release Date : 1995-07-01
Introduction To Stochastic Processes written by Gregory F. Lawler and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-07-01 with Mathematics categories.
This concise, informal introduction to stochastic processes evolving with time was designed to meet the needs of graduate students not only in mathematics and statistics, but in the many fields in which the concepts presented are important, including computer science, economics, business, biological science, psychology, and engineering. With emphasis on fundamental mathematical ideas rather than proofs or detailed applications, the treatment introduces the following topics: Markov chains, with focus on the relationship between the convergence to equilibrium and the size of the eigenvalues of the stochastic matrix Infinite state space, including the ideas of transience, null recurrence and positive recurrence The three main types of continual time Markov chains and optimal stopping of Markov chains Martingales, including conditional expectation, the optional sampling theorem, and the martingale convergence theorem Renewal process and reversible Markov chains Brownian motion, both multidimensional and one-dimensional Introduction to Stochastic Processes is ideal for a first course in stochastic processes without measure theory, requiring only a calculus-based undergraduate probability course and a course in linear algebra.