Advanced Probability Theory

Probability Theory  eBooks & eLearning

Posted by AvaxGenius at Feb. 8, 2025
Probability Theory

Probability Theory by Alexandr A. Borovkov
English | PDF (True) | 2013 | 742 Pages | ISBN : 144715200X | 5.9 MB

This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into. They include both classical and more recent results, such as large deviations theory, factorization identities, information theory, stochastic recursive sequences. The book is further distinguished by the inclusion of clear and illustrative proofs of the fundamental results that comprise many methodological improvements aimed at simplifying the arguments and making them more transparent.

Probability Theory  eBooks & eLearning

Posted by AvaxGenius at Feb. 8, 2025
Probability Theory

Probability Theory by Alexandr A. Borovkov
English | PDF (True) | 2013 | 742 Pages | ISBN : 144715200X | 5.9 MB

This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into. They include both classical and more recent results, such as large deviations theory, factorization identities, information theory, stochastic recursive sequences. The book is further distinguished by the inclusion of clear and illustrative proofs of the fundamental results that comprise many methodological improvements aimed at simplifying the arguments and making them more transparent.

Advanced Probability Theory for Biomedical Engineers  eBooks & eLearning

Posted by roxul at July 23, 2022
Advanced Probability Theory for Biomedical Engineers

John D. Enderle, "Advanced Probability Theory for Biomedical Engineers "
English | ISBN: 1598291505 | 2006 | 108 pages | PDF | 1140 KB

Probability Theory: An Advanced Course  eBooks & eLearning

Posted by AvaxGenius at Oct. 21, 2022
Probability Theory: An Advanced Course

Probability Theory: An Advanced Course by Vivek S. Borkar
English | PDF | 1995 | 149 Pages | ISBN : 038794558X | 10.3 MB

This book presents a selection of topics from probability theory. Essentially, the topics chosen are those that are likely to be the most useful to someone planning to pursue research in the modern theory of stochastic processes. The prospective reader is assumed to have good mathematical maturity. In particular, he should have prior exposure to basic probability theory at the level of, say, K.L. Chung's 'Elementary probability theory with stochastic processes' (Springer-Verlag, 1974) and real and functional analysis at the level of Royden's 'Real analysis' (Macmillan, 1968).

Probability Theory: An Introductory Course  eBooks & eLearning

Posted by AvaxGenius at June 17, 2024
Probability Theory: An Introductory Course

Probability Theory: An Introductory Course by Yakov G. Sinai
English | PDF | 1992 | 148 Pages | ISBN : N/A | 9.8 MB

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, basedon Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be usedby more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.

Probability Theory: An Introductory Course  eBooks & eLearning

Posted by AvaxGenius at June 17, 2024
Probability Theory: An Introductory Course

Probability Theory: An Introductory Course by Yakov G. Sinai
English | PDF | 1992 | 148 Pages | ISBN : N/A | 9.8 MB

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, basedon Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be usedby more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.
Advanced Probability Theory for Biomedical Engineers (Synthesis Lectures on Biomedical Engineering) by John D. Enderle

Advanced Probability Theory for Biomedical Engineers (Synthesis Lectures on Biomedical Engineering) by John D. Enderle
English | Nov 10, 2006 | ISBN: 1598291505 | 108 Pages | PDF | 0.8 MB

This is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on standard probability distributions commonly encountered in biomedical engineering.
Probability Theory: A First Course in Probability Theory and Statistics (De Gruyter Textbook), 2nd edition

Probability Theory
by Werner Linde

English | 2024 | ISBN: 3111324842 | 500 pages | True PDF | 7.23 MB

Probability Theory (2nd Edition)  eBooks & eLearning

Posted by hill0 at May 26, 2024
Probability Theory (2nd Edition)

Probability Theory: A First Course in Probability Theory and Statistics
English | 2024 | ISBN: 3111324842 | 698 Pages | EPUB | 59 MB

Probability Theory I  eBooks & eLearning

Posted by hill0 at Oct. 20, 2024
Probability Theory I

Probability Theory I: Random Variables and Distributions
English | 2024 | ISBN: 3031631897 | 403 Pages | PDF EPUB (True) | 39 MB