书目名称 | High Dimensional Probability III | 编辑 | Jørgen Hoffmann-Jørgensen,Jon A. Wellner,Michael B | 视频video | | 概述 | Rigorously refereed contributions originating from the 3rd international conference on High Dimensional Probability in Sandjberg, Denmark, June 2002 | 丛书名称 | Progress in Probability | 图书封面 |  | 描述 | The title High Dimensional Probability is an attempt to describe the many trib utaries of research on Gaussian processes and probability in Banach spaces that started in the early 1970‘s. In each of these fields it is necessary to consider large classes of stochastic processes under minimal conditions. There are rewards in re search of this sort. One can often gain deep insights, even about familiar processes, by stripping away details that in hindsight turn out to be extraneous. Many of the problems that motivated researchers in the 1970‘s were solved. But the powerful new tools created for their solution, such as randomization, isoperimetry, concentration of measure, moment and exponential inequalities, chaining, series representations and decoupling turned out to be applicable to other important areas of probability. They led to significant advances in the study of empirical processes and other topics in theoretical statistics and to a new ap proach to the study of aspects of Levy processes and Markov processes in general. Papers on these topics as well as on the continuing study of Gaussian processes and probability in Banach are included in this volume. | 出版日期 | Conference proceedings 2003 | 关键词 | Deviations; Estimator; Limit theorems; Measure theory; Probability theory; Random variable; Stochastic pro | 版次 | 1 | doi | https://doi.org/10.1007/978-3-0348-8059-6 | isbn_softcover | 978-3-0348-9423-4 | isbn_ebook | 978-3-0348-8059-6Series ISSN 1050-6977 Series E-ISSN 2297-0428 | issn_series | 1050-6977 | copyright | Springer Science+Business Media New York 2003 |
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