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Probability theory --- Limit theorems (Probability theory) --- Congresses --- -519.214 --- Probabilities --- Limit theorems --- 519.214 Limit theorems --- 519.214 --- Limit theorems (Probability theory) - Congresses
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Stochastic processes --- 519.214 --- Limit theorems --- Theses --- 519.214 Limit theorems
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Stochastic processes --- Limiettheorema's (Waarschijnlijkheidstheorie) --- Limit theorems (Probability theory) --- Semimartingales (Mathematics) --- Théorèmes limites (Théorie des probabilités) --- Semimartingales (Mathématiques) --- 519.214 --- Limit theorems --- 519.214 Limit theorems --- Semimartingales (Mathématiques) --- Théorèmes limites (Théorie des probabilités)
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Limit theorems (Probability theory) --- Random variables --- Summability theory --- 519.214 --- Sequences (Mathematics) --- Series --- Chance variables --- Stochastic variables --- Variables (Mathematics) --- Limit theorems --- 519.214 Limit theorems --- Probabilities --- Mathematical statistics --- Probability theory --- Random variables. --- Summability theory.
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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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Probability theory --- Large deviations --- Grandes déviations --- Deviations, Large --- Limit theorems (Probability theory) --- Statistics --- Grandes déviations
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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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Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an introduction to the theory of martingales and semimartingales, random measures stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. The second edition contains some additions to the text and references. Some parts are completely rewritten.
Stochastic processes --- Limit theorems (Probability theory) --- Semimartingales (Mathematics) --- Limit theorems (Probability theory). --- Semimartingales (Mathematics). --- Probabilities. --- Probability Theory and Stochastic Processes. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk
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Mathematical statistics --- Large deviations --- Grandes déviations --- Deviations, Large --- Limit theorems (Probability theory) --- Statistics --- Large deviations. --- Grandes déviations
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