This revised edition of Daniel W. Stroock's classic text is suitable for a first-year graduate course on probability theory. By modern standards the topics treated are classical and the techniques used far-ranging: Dr. Stroock does not approach the subject as a monolithic structure resting on a few
Probability Theory, an Analytic View
โ Scribed by Daniel W. Stroock
- Publisher
- Cambridge University Press
- Year
- 2000
- Tongue
- English
- Leaves
- 550
- Edition
- Revised
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Stroock in the preface to his preface gives his graduate school introduction to probability from Kac and McKean to explain why the book is written from the analytic rather than the probabilistic viewpoint. The coverage is thorough and rigorous with important proofs provided in the style he likes best. As an example in Chapter 2 where he covers the central limit theorem and the Berry-Esseen results on rates of convergence, he uses Stein's method rather than more complicated approaches using Fourier series.
This covers all the standard topics for a first year graduate course in probability and a bit more.
โฆ Subjects
ะะฐัะตะผะฐัะธะบะฐ;ะขะตะพัะธั ะฒะตัะพััะฝะพััะตะน ะธ ะผะฐัะตะผะฐัะธัะตัะบะฐั ััะฐัะธััะธะบะฐ;ะขะตะพัะธั ะฒะตัะพััะฝะพััะตะน;
๐ SIMILAR VOLUMES
This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and the analytic ideas and
This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and the analytic ideas and
This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and the analytic ideas and
Sinai's book leads the student through the standard material for ProbabilityTheory, with stops along the way for interesting topics such as statistical mechanics, not usually included in a book for beginners. The first part of the book covers discrete random variables, using the same approach, based