Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the semimartingale theory, and related stochastic calculus. Th……続きを見る
This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original mater……続きを見る
This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Fur……続きを見る
This book provides an overview of the risk components of CoCo bonds. CoCos are hybrid financial instruments that convert into equity or suffer a write-down of the face value upon the appearance of a……続きを見る
This book provides a comprehensive and unified introduction to stochastic differential equations and related optimal control problems. The material is new and the presentation is reader-friendly. A ……続きを見る
著者:Jean Walrand
出版社: Springer International Publishing
発売日: 2022年04月15日
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processin……続きを見る
In a world of increasing financial uncertainty and growing unemployment, the macroeconomic contribution of SMEs is more important than ever. Development of a vibrant, sustainable small firm sector i……続きを見る
Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective
ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach……続きを見る
A new edition of the definitive guide to logistic regression modeling for health science and other applications
This thoroughly expanded Third Edition provides an easily accessible introduction to t……続きを見る
Quantile-Based Reliability Analysis presents a novel approach to reliability theory using quantile functions in contrast to the traditional approach based on distribution functions. Quantile functio……続きを見る
From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrat……続きを見る
This research monograph presents results to researchers in stochastic calculus, forward and backward stochastic differential equations, connections between diffusion processes and second order parti……続きを見る
This book is designed as a text for graduate courses in stochastic processes. It is written for readers familiar with measure-theoretic probability and discrete-time processes who wish to explore st……続きを見る
Learn how to apply the principles of machine learning to time series modeling with this indispensable resource
Machine Learning for Time Series Forecasting with Python is an incisive and straightfor……続きを見る
This monograph is a progressive introduction to non-commutativity in probability theory, summarizing and synthesizing recent results about classical and quantum stochastic processes on Lie algebras.……続きを見る
著者:Xu Zhang, Qi Lü
出版社: Springer International Publishing
発売日: 2015年12月29日
The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now……続きを見る
Bayesian Networks
“This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.”
Dr. Ian Evett, Principal Forensic Services Ltd,……続きを見る
The third edition of Van Kampen's standard work has been revised and updated. The main difference with the second edition is that the contrived application of the quantum master equation in section ……続きを見る
Praise for the First Edition
". . . an excellent textbook . . . well organized and neatly written."
ーMathematical Reviews
". . . amazingly interesting . . ."
ーTechnometrics
Thoroughly updated to s……続きを見る
Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years. The present volume offers an introduction to deterministic algorithms ……続きを見る
Praise for the First Edition
". . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis."
ーJournal of the American Statistical Association
Features newly d……続きを見る
著者:Allan Gut
出版社: Springer New York
発売日: 2016年03月07日
Like its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the ……続きを見る
著者:Brian Everitt
出版社: Springer New York
発売日: 2016年03月17日
Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gam……続きを見る
著者:Rand R. Wilcox
出版社: Elsevier Science
発売日: 2005年01月22日
This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides……続きを見る
"Stochastic Tools in Mathematics and Science" covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. The topics covered include conditional expectations, stocha……続きを見る
Covers basic statistics and applications of major statistical tests. Preents the material in a sequence and approach that can be understood and used by almost anyone. Although this can be(and is) us……続きを見る
This second edition of Mathematical Methods in the Robust Control of Linear Stochastic Systems includes a large number of recent results in the control of linear stochastic systems. More specificall……続きを見る
Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and ……続きを見る
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine l……続きを見る
There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to ch……続きを見る