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Probability and Stochastics

Autor Ç&
en Limba Engleză Hardback – 25 feb 2011

Considerăm că volumul Probability and Stochastics reprezintă o sinteză rară între rigoarea matematică necesară nivelului universitar de masterat și o abordare didactică rafinată de decenii de predare la Princeton. Ceea ce aduce nou această lucrare față de literatura existentă este modul în care Erhan Çınlar reușește să introducă probleme complexe prin limbaj cotidian, pentru ca ulterior să le transpună în forme matematice precise. Notăm cu interes că, deși este un text de teorie pură, acoperirea este orientată strategic către aplicațiile proceselor stocastice, făcându-l accesibil nu doar matematicienilor, ci și cercetătorilor din economie sau fizică. Structura cărții urmărește o progresie logică impecabilă. Primele patru capitole pun bazele prin teoria măsurii, spații de probabilitate și teoreme limită clasice, oferind instrumentarul necesar pentru a aborda, în a doua jumătate a volumului, martingalele, procesele Poisson, mișcarea browniană și procesele Markov. Un punct distinctiv al acestui titlu este tratamentul detaliat al măsurilor aleatorii Poisson, analizate aici ca elemente reglatoare pentru excursiile mișcării browniene și salturile proceselor Levy. Cititorii familiarizați cu An Advanced Course in Probability and Stochastic Processes de Dirk P. Kroese vor aprecia în lucrarea lui Çınlar o focalizare mai accentuată pe intuiția geometrică și pe conexiunile dintre procesele stocastice fundamentale. În timp ce alte manuale din domeniu pot părea colecții de definiții abstracte, acest volum păstrează vitalitatea cursurilor predate de un autor laureat pentru excelență în educație. Deși autorul a explorat în alte lucrări precum Food Chain Security teme aplicate în context NATO, prezenta lucrare rămâne piatra de temelie a contribuției sale academice în analiza matematică.

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Specificații

ISBN-13: 9780387878584
ISBN-10: 0387878580
Pagini: 558
Ilustrații: XIV, 558 p.
Dimensiuni: 156 x 238 x 32 mm
Greutate: 0.76 kg
Ediția:2011 edition
Editura: Springer
Locul publicării:New York, NY, United States

Public țintă

Graduate

De ce să citești această carte

Suntem de părere că acest curs de referință este esențial pentru doctoranzii și studenții la masterat care doresc o stăpânire profundă a proceselor stocastice. Cititorul câștigă acces la o metodologie pedagogică premiată la Princeton, beneficiind de demonstrații simplificate ale unor rezultate clasice și de un set vast de exerciții care transformă teoria abstractă într-un instrument de lucru aplicabil în cercetarea modernă.


Descriere scurtă

This text is an introduction to the modern theory and applications of probability and stochastics. The style and coverage is geared towards the theory of stochastic processes, but with some attention to the applications. In many instances the gist of the problem is introduced in practical, everyday language and then is made precise in mathematical form.
 
The first four chapters are on probability theory: measure and integration, probability spaces, conditional expectations, and the classical limit theorems. There follows chapters on martingales, Poisson random measures, Levy Processes, Brownian motion, and Markov Processes.
Special attention is paid to Poisson random measures and their roles in regulating the excursions of Brownian motion and the jumps of Levy and Markov processes. Each chapter has a large number of varied examples and exercises. 
 
The book is based on the author’s lecture notes in courses offered over the years at Princeton University. These courses attracted graduate students from engineering, economics, physics, computer sciences, and mathematics.
 
Erhan Cinlar has received many awards for excellence in teaching, including the President’s Award for Distinguished Teaching at Princeton University. His research interests include theories of Markov processes, point processes, stochastic calculus, and stochastic flows. The book is full of insights and observations that only a lifetime researcher in probability can have, all told in a lucid yet precise style.

Cuprins

Preface.- Measure and Integration.- Probability Spaces.- Convergence.- Conditioning.- Martingales and Stochastics.- Poisson Random Measures.- Levy Processes.- Index.- Bibliography

Recenzii

From the reviews:
“The book is an introduction to the modern theory of probability and stochastic processes. … the book is higher recommended. It provides new simple proofs of important results on Probability Theory and Stochastics Processes. … it is a stimulating textbook will be for the teaching and research of the materia. A well written text with excellent tools for many instances, in every day language, and then all written precise in mathematical form.” (Francisco JoséCano Sevilla, The European Mathematical Society, February, 2013)
“This book is an elegant graduate level text on probability and stochastics. The approach is modern, with an explicitly stated goal of preparing readers for research level work in probability. … There is much valuable information in the exercises and complementary sections scattered throughout the book. … best use as a textbook would be for a full year course for mature graduate students. … a valuable reference for any probabilist, giving a convenient reference for many results and with historical notes and a thorough bibliography.” (John P. Nolan, Mathematical Reviews, January, 2013)
“This advanced textbook contains material for a two-semester course, based on what the author has taught at Princeton University. Each chapter begins with a pithy summary of what is to come; exercises … are scattered throughout the text, and any reader with the stamina to work conscientiously through even most of this book will find their understanding of the area greatly enhanced. … The author deserves congratulations for a masterly account of the fields covered … .” (John Haigh, The Mathematical Gazette, Vol. 96 (536), July, 2012)
“The author covers a considerable amount of material in the 550 pages. The choice of topics and the style of presentation make the book valuable both as a classroom textbook and as a reference book. … This is a very good exposition of the theory of probability and stochastic processes … and this reviewer warmly recommends it to the graduated student, to the mathematician working in related fields, and even to the adventurous undergraduate student.” (Florin Catrina, The Mathematical Association of America, January, 2012)
“This excellent book aims to provide a bridge from … classical stochastic process theory to the more abstract modern theory as it is developed and displayed in contemporary research monographs. … Chapters are organized with the more accessible material at the beginning … and preceded by appropriate heuristics and motivating ideas. … It includes a good bibliography, which is referenced in the Notes and Comments section … . Overall, this is a volume which any probabilist would be happy to add to their library.” (David Stirzaker, SIAM Review, Vol. 54 (1), 2012)
“The monograph is very complete in the sense that the chosen subjects are treated in great detail, and nearly no proofs are omitted. Also, the amount of material covered in 540 pages is impressive. The style is very precise and mathematically rigorous, which makes the book a pleasure to read. So, in conclusion, this is a valuable addition to the family of probability textbooks. Because of its completeness, it is also a good reference for researchers.” (Nicolas Perkowski, Zentralblatt MATH, Vol. 1226, 2012)

Caracteristici

Exercises are plentiful and of high quality Explanations and writing are unusually clear Author provides a nice balance of theory and applications Includes supplementary material: sn.pub/extras