The Theory of Probability: Explorations and Applications
| Author | : | |
| Rating | : | 4.31 (726 Votes) |
| Asin | : | 1107024471 |
| Format Type | : | paperback |
| Number of Pages | : | 827 Pages |
| Publish Date | : | 2017-11-03 |
| Language | : | English |
DESCRIPTION:
One might have thought that there was no space left in the market for books on the fundamentals of probability theory, but this volume provides a refreshing new approach it is a magnificent undertaking, impeccably presented, and one that is sure to reward repeated reading." Tom Fanshawe, Significance (magazine of The Royal Statistical Society)" well-written, and although the topics are discussed with all mathematical rigour, it usually does not exceed the capabilities of an advanced undergraduate student it can be recommended without constraint as a textbook for advanced undergraduates, but also as a reference and interesting read for experts." Manuel Vogel, Contemporary Physics . "This is a remarkable book, a theory of probability that succeeds in being both readable and rigorous, both expository and ent
Web Site Not Accessible The book is excellent, but I find one major flaw. It would be much better if the reader had access to the web site featured on the back cover which promotes the 500 homework problems and 250 worked examples that are included. These are accessible only for those of us who are using the volume to teach a course. If this were correctly advertised, some potent. "Superb!" according to Felix Klein. In college I was left with the distorted idea that probability theory is a sub-field of measure theory. Growing older it dawned on me that something else is at work in probability. Yes, probabilists do use heavily measure theoretic concepts, but they are guided by a different star I would call probabilistic thinking. I could not easily define what I mean b. Tada! You are a probabilist! I bought this book right after I completed the coursera online course Probability offered by Univ of Penn Professor Venkatesh. For me, it was the greatest series of speeches since Lincoln's Cooper Union address. Dr. Venkatesh's command of English, and his full force of reasoning and logic, is a wonder to behold.Now back to the book. It is not possible to o
He is a member of the David Mahoney Institute for Neurological Sciences and has been awarded the Lindback Award for Distinguished Teaching. . Venkatesh is an Associate Professor of Electrical and Systems Engineering at the University of Pennsylvania, whose research interests include probability, information, communication and learning theory, pattern recognition, computational neuroscience, epidemiology
Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians.. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves t