Varadhan S R (234 results)

Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

First Edition. Softcover, very good with light wear. Book.

Condition: Very Good. 315 pp., Paperback, very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,250grams, ISBN:0898711894.

hardcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. Proceedings of a Conference on Differential Equations marking the 70th Birthdays of Peter Lax and Louis Nirenberg, held at the Villa La Pietra, Florence, Italy, July 3-7, 1996. Hardcover and contents in very good condition. T. Used.

Soft cover. Condition: Very Good. No Jacket. Light wear to spine ends.

Paperback. Condition: Very Good. Light sunning to covers, otherwise text clean and solid; 8vo 8" - 9" tall.

Condition: Very Good. 190 pp., Paperback, previous owner's name to the front free endpaper, top corner & fore edge rubbed, else very good . - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. This volume presents topics in probability theory covered during a first-year graduate course given at the Courant Institute of Mathematical Sciences. The necessary background material in measure theory is developed, including the standard topics, such as extension theorem, construction of measures, integration, product spaces, Radon-Nikodym theorem, and conditional expectation. In the first part of the book, characteristic functions are introduced, followed by the study of weak convergence of probability distributions. Then both the weak and strong limit theorems for sums of independent random variables are proved, including the weak and strong laws of large numbers, central limit theorems, laws of the iterated logarithm, and the Kolmogorov three series theorem. The first part concludes with infinitely divisible distributions and limit theorems for sums of uniformly infinitesimal independent random variables. The second part of the book mainly deals with dependent random variables, particularly martingales and Markov chains. Topics include standard results regarding discrete parameter martingales and Doob's inequalities. The standard topics in Markov chains are treated, i.e., transience, and null and positive recurrence. A varied collection of examples is given to demonstrate the connection between martingales and Markov chains. Additional topics covered in the book include stationary Gaussian processes, ergodic theorems, dynamic programming, optimal stopping, and filtering. A large number of examples and exercises is included. The book is a suitable text for a first-year graduate course in probability.

Condition: New.

Paperback. Condition: new. Paperback. This volume presents topics in probability theory covered during a first-year graduate course given at the Courant Institute of Mathematical Sciences. The necessary background material in measure theory is developed, including the standard topics, such as extension theorem, construction of measures, integration, product spaces, Radon-Nikodym theorem, and conditional expectation. In the first part of the book, characteristic functions are introduced, followed by the study of weak convergence of probability distributions. Then both the weak and strong limit theorems for sums of independent random variables are proved, including the weak and strong laws of large numbers, central limit theorems, laws of the iterated logarithm, and the Kolmogorov three series theorem. The first part concludes with infinitely divisible distributions and limit theorems for sums of uniformly infinitesimal independent random variables. The second part of the book mainly deals with dependent random variables, particularly martingales and Markov chains. Topics include standard results regarding discrete parameter martingales and Doob's inequalities. The standard topics in Markov chains are treated, i.e., transience, and null and positive recurrence. A varied collection of examples is given to demonstrate the connection between martingales and Markov chains. Additional topics covered in the book include stationary Gaussian processes, ergodic theorems, dynamic programming, optimal stopping, and filtering. A large number of examples and exercises is included. The book is a suitable text for a first-year graduate course in probability. This volume presents topics in probability theory covered during a first-year graduate course given at the Courant Institute of Mathematical Sciences. The necessary background material in measure theory is developed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

hardcover. Condition: Very Good. NOT ex-library. Pages are clean and crisp, no markings. Cover shows some wear from age. 100% of proceeds go toward promoting literacy in under-served areas of the world.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:3540087737.

Paperback. Condition: Brand New. 167 pages. 10.25x7.25x0.50 inches. In Stock.

Condition: New. This volume presents topics in probability theory covered during a first-year graduate course given at the Courant Institute of Mathematical Sciences, USA. The necessary background material in measure theory is developed, including all the standard topics. Series: Courant Lecture Notes. Num Pages: 167 pages, bibliography, index. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 252 x 177 x 10. Weight in Grams: 326. . 2001. Paperback. . . . .

XII, 521 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Infosys Science Foundation Series in Mathematical Sciences. Sprache: Englisch.

Paperback. Condition: Brand New. 126 pages. 10.00x7.00x0.25 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. This is a brief introduction to stochastic processes studying certain elementary continuous-time processes. After a description of the Poisson process and related processes with independent increments as well as a brief look at Markov processes with a finite number of jumps, the author proceeds to introduce Brownian motion and to develop stochastic integrals and Ito's theory in the context of one-dimensional diffusion processes. The book ends with a brief survey of the general theory of Markov processes. The book is based on courses given by the author at the Courant Institute and can be used as a sequel to the author's successful book Probability Theory in this series. Information for our distributors: Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.

Condition: New.

Cloth. Condition: Very Good. Type: Book N.B. Small plain label to inside front cover.

Hardcover. Condition: Very Good. Some sunning to covers, very lightly crimped corners, otherwise text clean and solid; no dust jacket; Grundlehern Der Mathematischen Wissenschaften 233; 8vo 8" - 9" tall; 338 pages.

Condition: New. pp. vii + 167 Illus.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. The theory of large deviations deals with rates at which probabilities of certain events decay as a natural parameter in the problem varies. This book, which is based on a graduate course on large deviations at the Courant Institute, focuses on three concrete sets of examples: (i) diffusions with small noise and the exit problem, (ii) large time behavior of Markov processes and their connection to the Feynman-Kac formula and the related large deviation behavior of the number of distinct sites visited by a random walk, and (iii) interacting particle systems, their scaling limits, and large deviations from their expected limits. For the most part the examples are worked out in detail, and in the process the subject of large deviations is developed.The book will give the reader a flavor of how large deviation theory can help in problems that are not posed directly in terms of large deviations. The reader is assumed to have some familiarity with probability, Markov processes, and interacting particle systems.

Paperback. Condition: new. Paperback. The theory of large deviations deals with rates at which probabilities of certain events decay as a natural parameter in the problem varies. This book, which is based on a graduate course on large deviations at the Courant Institute, focuses on three concrete sets of examples: (i) diffusions with small noise and the exit problem, (ii) large time behavior of Markov processes and their connection to the Feynman-Kac formula and the related large deviation behavior of the number of distinct sites visited by a random walk, and (iii) interacting particle systems, their scaling limits, and large deviations from their expected limits. For the most part the examples are worked out in detail, and in the process the subject of large deviations is developed.The book will give the reader a flavor of how large deviation theory can help in problems that are not posed directly in terms of large deviations. The reader is assumed to have some familiarity with probability, Markov processes, and interacting particle systems. "Courant Institute of Mathematical Sciences." Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: Good. Narosa Publishing House, 1980. Cover faintly rubbed/bumped, very lightly sunned/soiled, half inch tear at the bottom spine end, corners/spine ends very lightly rubbed/bumped, spine lightly creased; edges slightly pink toned, very lightly rubbed/bumped/sunned/soiled, bottom edge lightly bumped/soiled; interior slightly pink toned throughout, sticker at the bottom edge of the front interior flap near the gutter, light ink/sticker transference at the bottom edge of the ffep near the gutter, very faint soiling sparseley sprinkled throughout, binding threads ever-so-slightly exposed at the gutter of the ffep; binding tight; cover, edges and interior intact and clean, except where noted; due to the size/weight of this item, additional shipping charges may apply for International or Expedited orders. paperback. Good.