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Probability theory has been extraordinarily successful at describing a variety of phenomena, from the behaviour of gases to the transmission of messages, and is, besides, a powerful tool with applications throughout mathematics. At its heart are a number of concepts familiar in one guise or another to many: Gauss' bell-shaped curve, the law of averages, and so on, concepts that crop up in so many settings they are in some sense universal. This universality is predicted by probability theory to a remarkable degree. This book explains that theory and investigates its ramifications. Assuming a good working knowledge of basic analysis, real and complex, the author maps out a route from basic probability, via random walks, Brownian motion, the law of large numbers and the central limit theorem, to aspects of ergodic theorems, equilibrium and nonequilibrium statistical mechanics, communication over a noisy channel, and random matrices. Numerous examples and exercises enrich the text.
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Compound renewal processes (CRPs) are among the most ubiquitous models arising in applications of probability. At the same time, they are a natural generalization of random walks, the most well-studied classical objects in probability theory. This monograph, written for researchers and graduate students, presents the general asymptotic theory and generalizes many well-known results concerning random walks. The book contains the key limit theorems for CRPs, functional limit theorems, integro-local limit theorems, large and moderately large deviation principles for CRPs in the state space and in the space of trajectories, including large deviation principles in boundary crossing problems for CRPs, with an explicit form of the rate functionals, and an extension of the invariance principle for CRPs to the domain of moderately large and small deviations. Applications establish the key limit laws for Markov additive processes, including limit theorems in the domains of normal and large deviations.
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Numerical approximation theory --- Mathematical statistics --- Limit theorems (Probability theory) --- 519.23 --- 519.2 --- 519.214 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical analysis. Inference methods --- Probability. Mathematical statistics --- Limit theorems --- Statistical methods --- Mathematical statistics. --- Limit theorems (Probability theory). --- 519.214 Limit theorems --- 519.2 Probability. Mathematical statistics --- 519.23 Statistical analysis. Inference methods --- Statistique mathématique --- Statistique mathématique
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Stochastic Limit Theory has become a standard reference in its field. This new edition offers updated and improved results and an extended range of topics. It works both as a textbook and as an account of recent work in a field of particular interest to econometricians.
Econometrics --- Limit theorems (Probability theory) --- Econometrics. --- Stochastic processes. --- Random processes --- Probabilities --- Economics, Mathematical --- Statistics
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Probability theory --- Stochastic processes --- Summability theory --- Distribution (Probability theory) --- 519.214 --- Limit theorems --- 519.214 Limit theorems --- Processus stochastiques --- Sommabilité --- Distribution (Théorie des probabilités) --- Monograph --- Probabilités. --- Probabilities --- Probabilities. --- Stochastic processes. --- Probabilités --- Variables aléatoires
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Galaxies --- Atlases. --- 524.7 --- Extragalactic nebulae --- Nebulae, Extragalactic --- Astronomy --- Extra-galactic systems --- Limit theorems (Probability theory) --- Semimartingales (Mathematics) --- 524.7 Extra-galactic systems --- Limit theorems (Probability theory). --- Semimartingales (Mathematics). --- Atlases
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