Discrete phenomena are an important aspect of various complex systems, acting both as underlying driving mechanisms and as manifestations of diverse behaviours. However, the characterisation of thes……続きを見る
This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochastic systems with unknown parameters. The adaptive est……続きを見る
The book is composed of two main parts: mathematical background and queueing systems with applications. The mathematical background is a self containing introduction to the stochastic processes of t……続きを見る
The authors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statist……続きを見る
Normalizing flows, diffusion normalizing flows and variational autoencoders are powerful generative models. This Element provides a unified framework to handle these approaches via Markov chains. Th……続きを見る
Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting……続きを見る
This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through th……続きを見る
This short ebook presents the basic procedures for replicating any form or structure in the universe. The use of an electrical stasis field around an object is discussed. These procedures will event……続きを見る
This short paper presents a concept involving time and technology, that will seem to make "time stand still." It involves the nature of technology and how it affects our lives. If we define Q' as a ……続きを見る
著者:Harald Luschgy
出版社: Springer Berlin Heidelberg
発売日: 2016年01月09日
Dieses Lehrbuch bietet neben einer umfassenden Darstellung der Theorie der Martingale in diskreter Zeit auch ausführliche Anwendungen. Die behandelten Themen reichen von klassischem Material über Ze……続きを見る
One of the main aims of this book is to exhibit some fruitful links between renewal theory and regular variation of functions. Applications of renewal processes play a key role in actuarial and fina……続きを見る
The book is the extended and revised version of the 1st edition and is composed of two main parts: mathematical background and queueing systems with applications. The mathematical background is a se……続きを見る
The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many num……続きを見る
Written by one of the best-known probabilists in the world this text offers a clear and modern presentation of modern probability theory and an exposition of the interplay between the properties of ……続きを見る
Dieses Buch liefert eine Einführung in die Analyse multivariater Daten, indem es eine Vielzahl klassischer und neuerer quantitativer Verfahren behandelt. Das Buch wendet sich sowohl an Studierende i……続きを見る
Praise for the First Edition
"...a reference for everyone who is interested in knowing and handling uncertainty."
ーJournal of Applied Statistics
The critically acclaimed First Edition of Understand……続きを見る
The fascinating correspondence between Paul Lévy and Maurice Fréchet spans an extremely active period in French mathematics during the twentieth century. The letters of these two Frenchmen show thei……続きを見る
Warum ein Mathebuch für Biologen von Studenten für Studenten?
Wir wissen, was man an Mathe für Bio wirklich für die Prüfungen und die Bachelorarbeit braucht. Wir haben selbst Bio oder Mathe/Physik s……続きを見る
著者:R. M. Dudley
出版社: Cambridge University Press
発売日: 2015年11月10日
In this new edition of a classic work on empirical processes the author, an acknowledged expert, gives a thorough treatment of the subject with the addition of several proved theorems not included i……続きを見る
This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic differential equations, and offers graduate students and research……続きを見る