5 edition of Discrete gambling and stochastic games found in the catalog.
Includes bibliographical references (p. -237) and indexes.
|Statement||Ashok P. Maitra, William D. Sudderth.|
|Series||Applications of mathematics ;, 32|
|Contributions||Sudderth, William D.|
|LC Classifications||QA271 .M35 1996|
|The Physical Object|
|Pagination||xi, 244 p. :|
|Number of Pages||244|
|LC Control Number||95044636|
Discrete-Time Stochastic Sliding Mode Control Using Functional Observation by Satnesh Singh English | EPUB | | Pages | ISBN: X | MB This book extrapolates many of the concepts that are well defined for discrete-time deterministic sliding-mode control for use with discrete-time stochastic systems. It details sliding-function designs for various categories of linear time. The book goes on to treat equilibrium analysis, covering a variety of core macroeconomic models, and such additional topics as recursive utility (increasingly used in finance and macroeconomics), dynamic games, and recursive contracts. The book introduces Dynare, a widely used software platform for handling a range of economic models; readers.
Discrete random variables A random variable is said to be discrete if it takes at most countably many values. More precisely, Xis said to be discrete if there exists a ﬁnite or countable set SˆR such that P[X2S] = 1, i.e., if we know with certainty that the only values Xcan take are those in S. The smallest set S. Part of the motivation for that work was to show the impossibility of successful betting strategies in games of chance. Definitions. A basic definition of a discrete-time martingale is a discrete-time stochastic process (i.e., a sequence of random variables) X 1, X 2, X 3, that satisfies for any time n.
The author then treats the binomial model as the primary example of discrete-time option valuation. The final part of the textbook examines the Black-Scholes model. The book is written to provide a straightforward account of the principles of option pricing and examines these principles in detail using standard discrete and stochastic calculus. In the year a book had been published by Christiaan Huygens on the subject. In most books where the probability theory is discussed in terms of gambling, the continuous probability distribution and the discrete probability distribution are treated separately. However, in more advanced books both of these can be treated together in any form.
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: Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability (32)) (): Maitra, Ashok P., Sudderth, William D.: BooksCited by: There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling.
The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage () uses gambling termi nology and examples to develop an elegant, deep, and quite general theory of discrete.
Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability (32)) - Kindle edition by Maitra, Ashok P., Sudderth, William D. Download it once and read it on your Kindle device, PC, phones or tablets.
Use features like bookmarks, note taking and highlighting while reading Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied 3/5(1). Discrete gambling and stochastic games.
[Ashok P Maitra; William D Sudderth] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Book, Internet Resource: All Authors / Contributors: Ashok P Maitra; William D Sudderth.
Find more information about: ISBN: Discrete Gambling and Stochastic Games by A.P. Maitra,available at Book Depository with free delivery worldwide. The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage () uses gambling termi nology and examples to develop an elegant, deep, and quite general theory of discrete-time stochastic control.
Buy Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability) Softcover reprint of the original 1st ed. by William D. Sudderth, Ashok P. Maitra (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders. Cite this chapter as: Maitra A.P., Sudderth W.D.
() Stochastic Games. In: Discrete Gambling and Stochastic Games. Applications of Mathematics (Stochastic Modelling and Applied Probability), vol The course begins with simple random walk and the analysis of gambling games.
This material is used to motivate the theory of martingales, and, after reaching a decent level of confidence with discrete processes, the course takes up the more de-manding development of continuous-time stochastic processes, especially Brownian motion.
Get this from a library. Discrete gambling and stochastic games. [Ashok P Maitra; William D Sudderth] -- The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance.
However, it was not until the middle of the twentieth century. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes.
Books, Toys, Games and much more. Discrete Gambling and Stochastic Games / Edition 1 available in Hardcover, Paperback. Add to Wishlist.
ISBN ISBN Pub. Date: 09/17/ Publisher: Springer New York. Discrete Gambling and Stochastic Games / Edition : $ Random walks are stochastic processes that are usually defined as sums of iid random variables or random vectors in Euclidean space, so they are processes that change in discrete time.
But some also use the term to refer to processes that change in continuous time, particularly the Wiener process used in finance, which has led to some confusion, resulting in its criticism. He has authored the book, Stochastic Analysis in Discrete and Continuous Settings: With Normal Martingales, Lecture Notes in Mathematics, Springer, and was a co-editor for the book, Stochastic Analysis with Financial Applications, Progress in Probability, Vol.
65, Springer Basel, Discrete Gambling and Stochastic Games. dynamic games * Parrondo's games and related topics A valuable reference for practitioners and researchers in dynamic game theory, the book and its.
Discrete Gambling and Stochastic Games | The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance.
However, it was not until the middle of the twentieth century that mathematicians de- veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. Markov decision processes: Discrete stochastic dynamic programming Martin L.
Puterman The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. 1 IEOR Introduction to Martingales in discrete time Martingales are stochastic processes that are meant to capture the notion of a fair game in the context of gambling.
In a fair game, each gamble on average, regardless of the past gam-bles, yields no pro t or loss. But the reader should not think that martingales are used just. This book contains a discussion of the laws of luck, coincidences, wagers, lotteries and the fallacies of gambling, notes on poker and martingales, explaining in detail the law of probability, the types of gambling, classification of gamblers, etc.
( views) A Treatise on Probability by John Maynard Keynes - Macmillan and co, Page iii - The course begins with simple random walk and the analysis of gambling games. This material is used to motivate the theory of martingales, and, after reaching a decent level of confidence with discrete processes, the course takes up the more demanding development of continuous-time stochastic processes, especially Brownian motion.5/5(1).
The stochastic nature of games at the casino allows lucky players to make pro t by means of gambling. Like games of chance and stocks, small physical systems are subject to uctuations, thus their energy and entropy become stochastic, fol-lowing an unpredictable evolution.
In this con-text, information about the evolution of a ther.want. I like very much each of the books above. I list below a little about each book. 1. Does a great job of explaining things, especially in discrete time.
Discrete time stochastic processes and pricing models. (a) Binomial methods without much math. Arbitrage and reassigning other games of chance: Sis the set of whole numbers from.These lecture notes have been developed for the course Stochastic Pro-cesses at Department of Mathematical Sciences, University of Copen-hagen during the teaching years The material covers as-pects of the theory for time-homogeneous Markov chains in discrete and continuous time on ﬁnite or countable state spaces.