Articles liés à Lectures on Contemporary Probability
Synopsis
This volume is based on classes in probability for advanced undergraduates held at the IAS/Park City Mathematics Institute (Utah). It is derived from both lectures (Chapters 1-10) and computer simulations (Chapters 11-13) that were held during the program. The material is coordinated so that some of the major computer simulations relate to topics covered in the first ten chapters. The goal is to present topics that are accessible to advanced undergraduates, yet are areas of current research in probability. The combination of the lucid yet informal style of the lectures and the hands-on nature of the simulations allows readers to become familiar with some interesting and active areas of probability. The first four chapters discuss random walks and the continuous limit of random walks: Brownian motion.Chapters 5 and 6 consider the fascinating mathematics of card shuffles, including the notions of random walks on a symmetric group and the general idea of random permutations. Chapters 7 and 8 discuss Markov chains, beginning with a standard introduction to the theory. Chapter 8 addresses the recent important application of Markov chains to simulations of random systems on large finite sets: Markov Chain Monte Carlo. Random walks and electrical networks are covered in Chapter 9. Uniform spanning trees, as connected to probability and random walks, are treated in Chapter 10. The final three chapters of the book present simulations. Chapter 11 discusses simulations for random walks.Chapter 12 covers simulation topics such as sampling from continuous distributions, random permutations, and estimating the number of matrices with certain conditions using Markov Chain Monte Carlo. Chapter 13 presents simulations of stochastic differential equations for applications in finance. (The simulations do not require one particular piece of software. They can be done in symbolic computation packages or via programming languages such as C.) The volume concludes with a number of problems ranging from routine to very difficult. Of particular note are problems that are typical of simulation problems given to students by the authors when teaching undergraduate probability.
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Lectures on Contemporary Probability (Student Mathematical Library, V. 2)
Edité par
Amer Mathematical Society, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
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Lectures on Contemporary Probability
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American Mathematical Society, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
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Lectures on Contemporary Probability
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American Mathematical Society, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
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Couverture souple
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Lectures on Contemporary Probability
Edité par
American Mathematical Society, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
Ancien ou d'occasion
Couverture souple
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
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Lectures on Contemporary Probability (Student Mathematical Library)
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American Mathematical Society, Usa, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
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Softcover. Etat : Very Good. Etat de la jaquette : No Dust Jacket. Light Wear to spine, covers and corners. Front fee-end paper slightly wrinkled but barely noticable and with iny smudge on top right corner. ; Light wear to spine, covers and corners. Clean pages, plenty of equations /formulae throughout. This item offers an in-depth exploration of modern probability theory, ideal for advanced undergraduates and new graduate students. It covers essential topics such as random walks, martingales, and Markov chains. Lawler and Coyle present complex concepts with clarity, providing intuitive explanations alongside rigorous proofs. With numerous opportunities to reinforce understanding and application of the material. Its engaging style and comprehensive coverage make it an excellent resource for anyone looking to deepen their knowledge of probability theory, from students to researchers in the field. ; 5.75 X 0.25 X 8.5 inches; xii, 97 (1) pages. N° de réf. du vendeur LCH47134
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Lectures on Contemporary Probability
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ISBN 13 : 9780821820292
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Lectures on Contemporary Probability (Student Mathematical Library, V. 2)
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Amer Mathematical Society, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
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Lectures on Contemporary Probability (Student Mathematical Library, V. 2)
Edité par
Amer Mathematical Society, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
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Etat : New. Based on classes in probability for advanced undergraduates held at the IAS/Park City Mathematics Institute (Utah), this title is derived from both lectures (Chapters 1-10) and computer simulations (Chapters 11-13) that were held during the program. It concludes with a number of problems ranging from routine to very difficult. Series: Student Mathematical Library. Num Pages: 110 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 215 x 142 x 7. Weight in Grams: 140. . 1999. Paperback. . . . . N° de réf. du vendeur V9780821820292
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Lectures on Contemporary Probability
Edité par
American Mathematical Society, US, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. This volume is based on classes in probability for advanced undergraduates held at the IAS/Park City Mathematics Institute (Utah). It is derived from both lectures (Chapters 1-10) and computer simulations (Chapters 11-13) that were held during the program. The material is coordinated so that some of the major computer simulations relate to topics covered in the first ten chapters. The goal is to present topics that are accessible to advanced undergraduates, yet are areas of current research in probability. The combination of the lucid yet informal style of the lectures and the hands-on nature of the simulations allows readers to become familiar with some interesting and active areas of probability. The first four chapters discuss random walks and the continuous limit of random walks: Brownian motion.Chapters 5 and 6 consider the fascinating mathematics of card shuffles, including the notions of random walks on a symmetric group and the general idea of random permutations. Chapters 7 and 8 discuss Markov chains, beginning with a standard introduction to the theory. Chapter 8 addresses the recent important application of Markov chains to simulations of random systems on large finite sets: Markov Chain Monte Carlo. Random walks and electrical networks are covered in Chapter 9. Uniform spanning trees, as connected to probability and random walks, are treated in Chapter 10. The final three chapters of the book present simulations. Chapter 11 discusses simulations for random walks.Chapter 12 covers simulation topics such as sampling from continuous distributions, random permutations, and estimating the number of matrices with certain conditions using Markov Chain Monte Carlo. Chapter 13 presents simulations of stochastic differential equations for applications in finance. (The simulations do not require one particular piece of software. They can be done in symbolic computation packages or via programming languages such as C.) The volume concludes with a number of problems ranging from routine to very difficult. Of particular note are problems that are typical of simulation problems given to students by the authors when teaching undergraduate probability. N° de réf. du vendeur LU-9780821820292
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Lectures on Contemporary Probability
Edité par
American Mathematical Society, US, 1999
ISBN 10 : 082182029X
ISBN 13 : 9780821820292
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. This volume is based on classes in probability for advanced undergraduates held at the IAS/Park City Mathematics Institute (Utah). It is derived from both lectures (Chapters 1-10) and computer simulations (Chapters 11-13) that were held during the program. The material is coordinated so that some of the major computer simulations relate to topics covered in the first ten chapters. The goal is to present topics that are accessible to advanced undergraduates, yet are areas of current research in probability. The combination of the lucid yet informal style of the lectures and the hands-on nature of the simulations allows readers to become familiar with some interesting and active areas of probability. The first four chapters discuss random walks and the continuous limit of random walks: Brownian motion.Chapters 5 and 6 consider the fascinating mathematics of card shuffles, including the notions of random walks on a symmetric group and the general idea of random permutations. Chapters 7 and 8 discuss Markov chains, beginning with a standard introduction to the theory. Chapter 8 addresses the recent important application of Markov chains to simulations of random systems on large finite sets: Markov Chain Monte Carlo. Random walks and electrical networks are covered in Chapter 9. Uniform spanning trees, as connected to probability and random walks, are treated in Chapter 10. The final three chapters of the book present simulations. Chapter 11 discusses simulations for random walks.Chapter 12 covers simulation topics such as sampling from continuous distributions, random permutations, and estimating the number of matrices with certain conditions using Markov Chain Monte Carlo. Chapter 13 presents simulations of stochastic differential equations for applications in finance. (The simulations do not require one particular piece of software. They can be done in symbolic computation packages or via programming languages such as C.) The volume concludes with a number of problems ranging from routine to very difficult. Of particular note are problems that are typical of simulation problems given to students by the authors when teaching undergraduate probability. N° de réf. du vendeur LU-9780821820292
Quantité disponible : 1 disponible(s)