Positive Gaussian Kernels Also Have Gaussian Minimizers, Franck Barthe, Pawel Wolff
Автор: Jamie D. Riggs Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data ISBN: 1316601056 ISBN-13(EAN): 9781316601051 Издательство: Cambridge Academ Рейтинг: Цена: 6019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.
Описание: This book focusses on inverse Gaussian approximation for the distribution of the first level-crossing time in a shifted compound renewal process framework.
Автор: M.A. Lifshits Название: Gaussian Random Functions ISBN: 0792333853 ISBN-13(EAN): 9780792333852 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents a series of some of the most essential properties of Gaussian random functions. This book focuses on a number of fundamental objects in the theory of Gaussian random functions and exposes their interrelations. It is of interest to mathematicians and scientists who use stochastic methods in their research.
Автор: V. Seshadri Название: The Inverse Gaussian Distribution ISBN: 0387986189 ISBN-13(EAN): 9780387986180 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will appeal to probabilists and mathematical statisticians interested in the inverse Gaussian distribution. It will also be of value to those wishing to use the distibution in a particular subject matter. It provides a broad, up-to-date coverage of topics, an in- depth description of many examples, and a very large bibliography.
Автор: Kiyoshi Kanazawa Название: Statistical Mechanics for Athermal Fluctuation ISBN: 9811063303 ISBN-13(EAN): 9789811063305 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis. Stochastic methods are theoretically very powerful in describing fluctuation of thermodynamic quantities in small systems on the level of a single trajectory and have been recently developed on the basis of stochastic thermodynamics. This thesis proposes, for the first time, a systematic framework to describe athermal fluctuation, developing stochastic thermodynamics for non-Gaussian processes, while thermal fluctuations are mainly addressed from the viewpoint of Gaussian stochastic processes in most of the conventional studies.
First, the book provides an elementary introduction to the stochastic processes and stochastic thermodynamics. The author derives a Langevin-like equation with non-Gaussian noise as a minimal stochastic model for athermal systems, and its analytical solution by developing systematic expansions is shown as the main result. Furthermore, the a
uthor shows a thermodynamic framework for such non-Gaussian fluctuations, and studies some thermodynamics phenomena, i.e. heat conduction and energy pumping, which shows distinct characteristics from conventional thermodynamics. The theory introduced in the book would be a systematic foundation to describe dynamics of athermal fluctuation quantitatively and to analyze their thermodynamic properties on the basis of stochastic methods.
Автор: Shi, Jian Qing Название: Gaussian Process Regression Analysis for Functional Data ISBN: 1439837732 ISBN-13(EAN): 9781439837733 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Scaling Limits of Random Trees and Random Graphs (C. Goldschmidt).- Lectures on the Ising and Potts Models on the Hypercubic Lattice (H. Duminil-Copin).- Extrema of the Two-Dimensional Discrete Gaussian Free Field (M. Biskup).
Описание: This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity.
Автор: A.B. Aries; I.A. Ibragimov; Y.A. Rozanov Название: Gaussian Random Processes ISBN: 038790302X ISBN-13(EAN): 9780387903026 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book deals mainly with three problems involving Gaussian stationary processes. The second problem mentioned above is closely related with problems involving ergodic theory of Gaussian dynamic systems as well as prediction theory of stationary processes.
Автор: Bovier Название: Gaussian Processes on Trees ISBN: 1107160499 ISBN-13(EAN): 9781107160491 Издательство: Cambridge Academ Рейтинг: Цена: 9346.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Branching Brownian motion is a key model at the crossroads of value statistics for Gaussian processes, statistical physics, and non-linear partial differential equations. This book gives a concise introduction for graduate students and researchers leading up to the most recent developments in this active area of research.
