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Amarts And Set Function Processes
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Book Synopsis Amarts and Set Function Processes by : Allan Gut
Download or read book Amarts and Set Function Processes written by Allan Gut and published by Springer. This book was released on 2006-11-14 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stopping Times and Directed Processes by : Gerald A. Edgar
Download or read book Stopping Times and Directed Processes written by Gerald A. Edgar and published by Cambridge University Press. This book was released on 1992-08-28 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified treatment of the theory of 'stopping times' for probability theorists and statisticians.
Book Synopsis Differential Geometric Methods in Mathematical Physics by : Heinz-Dietrich Doebner
Download or read book Differential Geometric Methods in Mathematical Physics written by Heinz-Dietrich Doebner and published by Springer. This book was released on 2006-11-14 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes by : J.A. Vísek
Download or read book Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes written by J.A. Vísek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probability and Analysis by : Giorgio Letta
Download or read book Probability and Analysis written by Giorgio Letta and published by Springer. This book was released on 2006-11-14 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lectures Given at the 1st 1985 Session of the Centro Internazionale Matematico Estivo, (CIME)
Book Synopsis Around Classification Theory of Models by : Saharon Shelah
Download or read book Around Classification Theory of Models written by Saharon Shelah and published by Springer. This book was released on 2006-12-08 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Integration and Differential Equations by : Philip Protter
Download or read book Stochastic Integration and Differential Equations written by Philip Protter and published by Springer. This book was released on 2013-12-21 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been 15 years since the first edition of Stochastic Integration and Differential Equations, A New Approach appeared, and in those years many other texts on the same subject have been published, often with connections to applications, especially mathematical finance. Yet in spite of the apparent simplicity of approach, none of these books has used the functional analytic method of presenting semimartingales and stochastic integration. Thus a 2nd edition seems worthwhile and timely, though it is no longer appropriate to call it "a new approach". The new edition has several significant changes, most prominently the addition of exercises for solution. These are intended to supplement the text, but lemmas needed in a proof are never relegated to the exercises. Many of the exercises have been tested by graduate students at Purdue and Cornell Universities. Chapter 3 has been completely redone, with a new, more intuitive and simultaneously elementary proof of the fundamental Doob-Meyer decomposition theorem, the more general version of the Girsanov theorem due to Lenglart, the Kazamaki-Novikov criteria for exponential local martingales to be martingales, and a modern treatment of compensators. Chapter 4 treats sigma martingales (important in finance theory) and gives a more comprehensive treatment of martingale representation, including both the Jacod-Yor theory and Emery’s examples of martingales that actually have martingale representation (thus going beyond the standard cases of Brownian motion and the compensated Poisson process). New topics added include an introduction to the theory of the expansion of filtrations, a treatment of the Fefferman martingale inequality, and that the dual space of the martingale space H^1 can be identified with BMO martingales. Solutions to selected exercises are available at the web site of the author, with current URL http://www.orie.cornell.edu/~protter/books.html.
Book Synopsis Graph Theory Singapore 1983 by : K.M. Koh
Download or read book Graph Theory Singapore 1983 written by K.M. Koh and published by Springer. This book was released on 2006-11-14 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Number Theory, Noordwijkerhout 1983 by : H. Jager
Download or read book Number Theory, Noordwijkerhout 1983 written by H. Jager and published by Springer. This book was released on 2006-12-08 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algebra, Algebraic Topology and their Interactions by : Jan-Erik Roos
Download or read book Algebra, Algebraic Topology and their Interactions written by Jan-Erik Roos and published by Springer. This book was released on 2006-11-14 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Counterexamples in Probability by : Jordan M. Stoyanov
Download or read book Counterexamples in Probability written by Jordan M. Stoyanov and published by Courier Corporation. This book was released on 2013-09-18 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most mathematical examples illustrate the truth of a statement; counterexamples demonstrate a statement's falsity. This third edition features the author's revisions and corrections plus a substantial new appendix. 2012 edition.
Download or read book Equadiff 6 written by Jaromir Vosmansky and published by Springer. This book was released on 2006-11-14 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Differential Geometry and Differential Equations by : Chaohao Gu
Download or read book Differential Geometry and Differential Equations written by Chaohao Gu and published by Springer. This book was released on 2006-11-15 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The DD6 Symposium was, like its predecessors DD1 to DD5 both a research symposium and a summer seminar and concentrated on differential geometry. This volume contains a selection of the invited papers and some additional contributions. They cover recent advances and principal trends in current research in differential geometry.
Book Synopsis Buildings and the Geometry of Diagrams by : Luigi A. Rosati
Download or read book Buildings and the Geometry of Diagrams written by Luigi A. Rosati and published by Springer. This book was released on 2006-11-14 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Jorgen Hoffmann-Jorgensen Publisher :Springer Science & Business Media ISBN 13 :1461202531 Total Pages :422 pages Book Rating :4.4/5 (612 download)
Book Synopsis Probability in Banach Spaces, 9 by : Jorgen Hoffmann-Jorgensen
Download or read book Probability in Banach Spaces, 9 written by Jorgen Hoffmann-Jorgensen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers contained in this volume are an indication of the topics th discussed and the interests of the participants of The 9 International Conference on Probability in Banach Spaces, held at Sandjberg, Denmark, August 16-21, 1993. A glance at the table of contents indicates the broad range of topics covered at this conference. What defines research in this field is not so much the topics considered but the generality of the ques tions that are asked. The goal is to examine the behavior of large classes of stochastic processes and to describe it in terms of a few simple prop erties that the processes share. The reward of research like this is that occasionally one can gain deep insight, even about familiar processes, by stripping away details, that in hindsight turn out to be extraneous. A good understanding about the disciplines involved in this field can be obtained from the recent book, Probability in Banach Spaces, Springer-Verlag, by M. Ledoux and M. Thlagrand. On page 5, of this book, there is a list of previous conferences in probability in Banach spaces, including the other eight international conferences. One can see that research in this field over the last twenty years has contributed significantly to knowledge in probability and has had important applications in many other branches of mathematics, most notably in statistics and functional analysis.
Book Synopsis Measure Theory Oberwolfach 1983 by : D. Kölzow
Download or read book Measure Theory Oberwolfach 1983 written by D. Kölzow and published by Springer. This book was released on 2006-11-14 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Soft Methods for Integrated Uncertainty Modelling by : Jonathan Lawry
Download or read book Soft Methods for Integrated Uncertainty Modelling written by Jonathan Lawry and published by Springer Science & Business Media. This book was released on 2007-10-08 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations. For instance, Zadeh de?ned ‘Soft Computing’ as follows: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. Recently soft computing has, to some extent, become synonymous with a hybrid approach combining AI techniques including fuzzy systems, neural networks, and biologically inspired methods such as genetic algorithms. Here, however, we adopt a more straightforward de?nition consistent with the original concept. Hence, soft methods are understood as those uncertainty formalisms not part of mainstream s- tistics and probability theory which have typically been developed within the AI and decisionanalysiscommunity.Thesearemathematicallysounduncertaintymodelling methodologies which are complementary to conventional statistics and probability theory.