XII, 638 s. 46 illus., 20 illus. in color. , online resource..
فروست
عنوان فروست
(Universitext,0172-5939)
يادداشت کلی
متن يادداشت
9781447153603.
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Electronic
یادداشتهای مربوط به مندرجات
متن يادداشت
Summary: This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils of random developments at financial markets, and they guide us in constructing more efficient algorithms. a To address these concepts, the title covers a wide variety of topics, many of which are not usually found in introductory textbooks, such as: a @2022 limit theorems for sums of random variables @2022 martingales @2022 percolation @2022 Markov chains and electrical networks @2022 construction of stochastic processes @2022 Poisson point process and infinite divisibility @2022 large deviation principles and statistical physics @2022 Brownian motion @2022 stochastic integral and stochastic differential equations. The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in probability theory. This second edition has been carefully extended and includes many new features. It contains updated figures (over 50), computer simulations and some difficult proofs have been made more accessible. A wealth of examples and more than 270 exercises as well as biographic details of key mathematicians support and enliven the presentation. It will be of use to students and researchers in mathematics and statistics in physics, computer science, economics and biology.
متن يادداشت
Basic Measure Theory -- Independence -- Generating Functions -- The Integral -- Moments and Laws of Large Numbers -- Convergence Theorems -- Lp-Spaces and the Radon@2013Nikodym Theorem -- Conditional Expectations -- Martingales -- Optional Sampling Theorems -- Martingale Convergence Theorems and Their Applications -- Backwards Martingales and Exchangeability -- Convergence of Measures -- Probability Measures on Product Spaces -- Characteristic Functions and the Central Limit Theorem -- Infinitely Divisible Distributions -- Markov Chains -- Convergence of Markov Chains -- Markov Chains and Electrical Networks -- Ergodic Theory -- Brownian Motion -- Law of the Iterated Logarithm -- Large Deviations -- The Poisson Point Process -- The It@02C6o Integral -- Stochastic Differential Equations.
فروست (داده ارتباطی)
عنوان
Universitext,0172-5939
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Mathematics
موضوع مستند نشده
Differentiable dynamical systems
موضوع مستند نشده
Functional analysis
موضوع مستند نشده
Distribution (Probability theory)
موضوع مستند نشده
Mathematics
موضوع مستند نشده
Probability Theory and Stochastic Processes
موضوع مستند نشده
Measure and Integration
موضوع مستند نشده
Dynamical Systems and Ergodic Theory
موضوع مستند نشده
Functional Analysis
موضوع مستند نشده
Statistical Physics, Dynamical Systems and Complexity
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )